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TheDrummer/Fallen-Gemma3-12B-v1 | TheDrummer | 0e444092f0eac8d6fa34f6be261714db454be00c | 2025-03-30T14:45:22+00:00 | 2025-03-19T20:52:02Z | false | False | null | 237 | null | 12 | null | null | null | null | [
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Lightricks/LTX-Video-Cakeify-LoRA | Lightricks | dd5f2cbbc014f120a31c61760ffca2ecba63d786 | 2025-03-21T19:17:26+00:00 | 2025-03-21T14:12:19Z | false | False | null | 0 | null | 11 | null | null | null | null | [
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TheDrummer/Fallen-Gemma3-4B-v1 | TheDrummer | 4f3a9a164a6abf776bbff49cecd7dff4b09896bc | 2025-03-26T21:36:58+00:00 | 2025-03-22T15:19:58Z | false | False | null | 134 | null | 11 | null | null | null | null | [
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Tesslate/Tessa-T1-7B | Tesslate | ff44c14aa64319b91c0e61b4371277ef59d975b9 | 2025-03-24T16:04:46+00:00 | 2025-03-24T02:18:20Z | false | False | null | 60 | null | 6 | transformers | null | null | null | [
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Tarek07/Legion-V2.1-LLaMa-70B | Tarek07 | 8b2cc237b90ea70596ad7c1b251cd17a4dfadc22 | 2025-03-30T07:40:40+00:00 | 2025-03-24T18:14:50Z | false | False | null | 22 | null | 6 | transformers | null | null | null | [
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unsloth/Qwen2.5-VL-32B-Instruct-unsloth-bnb-4bit | unsloth | 4b7ec94f3231b4a38d043fb73ff293a8f4db74c6 | 2025-03-27T09:32:02+00:00 | 2025-03-24T21:06:32Z | false | False | null | 2,320 | null | 6 | transformers | null | null | null | [
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IndexTeam/Index-TTS | IndexTeam | 6507de0cee9c6f5f7debf5893cf16cec445ad37c | 2025-03-27T03:32:15+00:00 | 2025-03-25T05:04:24Z | false | False | null | 293 | null | 6 | null | null | null | null | [
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Mungert/Qwen2.5-VL-3B-Instruct-GGUF | Mungert | 27f948312d3bd74b00162aeb354cd631de4626e3 | 2025-03-28T03:32:02+00:00 | 2025-03-27T23:20:23Z | false | False | null | 598 | null | 6 | transformers | null | null | null | [
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"Qwen2.5-VL-3B-Instruct-q5_k_s.gguf",
"Qwen2.5-VL-3B-Instruct-q6_k_l.gguf",
"Qwen2.5-VL-3B-Instruct-q6_k_m.gguf",
"Qwen2.5-VL-3B-Instruct-q8_0.gguf",
"Qwen2.5-VL-3B-Instruct.imatrix",
"README.md",
"car-1.jpg"
] | null | null | null | 2025-03-28T03:32:02+00:00 | language:
- en
library_name: transformers
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE
pipeline_tag: image-text-to-text
tags:
- multimodal | null | 67e5dd37497547d5df8b7fea | Mungert/Qwen2.5-VL-3B-Instruct-GGUF |
bartowski/Tesslate_Tessa-T1-32B-GGUF | bartowski | 3ddf805e42510cd823d390dcfda75dc9b25130f3 | 2025-03-28T18:38:49+00:00 | 2025-03-28T16:30:13Z | false | False | null | 217 | null | 6 | transformers | null | null | null | [
"transformers",
"gguf",
"text-generation-inference",
"qwen2",
"trl",
"text-generation",
"en",
"dataset:Tesslate/Tessa-T1-Dataset",
"base_model:Tesslate/Tessa-T1-32B",
"base_model:quantized:Tesslate/Tessa-T1-32B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | null | 6 | base_model: Tesslate/Tessa-T1-32B
datasets:
- Tesslate/Tessa-T1-Dataset
language:
- en
license: apache-2.0
pipeline_tag: text-generation
tags:
- text-generation-inference
- transformers
- qwen2
- trl
quantized_by: bartowski
base_model_relation: quantized | null | null | null | null | [
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"Tesslate_Tessa-T1-32B.imatrix"
] | null | null | null | 2025-03-28T18:38:49+00:00 | base_model: Tesslate/Tessa-T1-32B
datasets:
- Tesslate/Tessa-T1-Dataset
language:
- en
license: apache-2.0
pipeline_tag: text-generation
tags:
- text-generation-inference
- transformers
- qwen2
- trl
quantized_by: bartowski
base_model_relation: quantized | null | 67e6ce95f37ac7e433d032bf | bartowski/Tesslate_Tessa-T1-32B-GGUF |
Evados/DiffSynth-Studio-Lora-Wan2.1-ComfyUI | Evados | 13dacc86c2fa69456950c829ecccff6f240f78c9 | 2025-03-28T20:40:31+00:00 | 2025-03-28T19:44:38Z | false | False | null | 0 | null | 6 | null | null | null | null | [
"base_model:Wan-AI/Wan2.1-T2V-1.3B",
"base_model:finetune:Wan-AI/Wan2.1-T2V-1.3B",
"license:apache-2.0",
"region:us"
] | null | null | 6 | base_model:
- Wan-AI/Wan2.1-T2V-1.3B
license: apache-2.0 | null | null | null | null | [
".gitattributes",
"README.md",
"Wan2.1-1.3b-lora-aesthetics-v1_new.safetensors",
"Wan2.1-1.3b-lora-exvideo-v1_new.safetensors",
"Wan2.1-1.3b-lora-highresfix-v1_new.safetensors",
"Wan2.1-1.3b-lora-speedcontrol-v1_new.safetensors"
] | null | null | null | 2025-03-28T20:40:31+00:00 | base_model:
- Wan-AI/Wan2.1-T2V-1.3B
license: apache-2.0 | null | 67e6fc26d6035eadae200e08 | Evados/DiffSynth-Studio-Lora-Wan2.1-ComfyUI |
VAGOsolutions/SauerkrautTTS-Preview-0.1 | VAGOsolutions | 430ee335560c9323d820fa17660a19db8f9556a7 | 2025-03-29T22:05:09+00:00 | 2025-03-29T17:08:30Z | false | False | null | 2 | null | 6 | transformers | null | null | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"unsloth",
"text-to-speech",
"de",
"base_model:canopylabs/orpheus-3b-0.1-ft",
"base_model:finetune:canopylabs/orpheus-3b-0.1-ft",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-to-speech | null | 6 | base_model:
- canopylabs/orpheus-3b-0.1-ft
language:
- de
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-to-speech
tags:
- unsloth | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2025-03-29T22:05:09+00:00 | base_model:
- canopylabs/orpheus-3b-0.1-ft
language:
- de
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-to-speech
tags:
- unsloth | null | 67e8290eeb9c3cb6740ca1c1 | VAGOsolutions/SauerkrautTTS-Preview-0.1 |
distilbert/distilgpt2 | distilbert | 2290a62682d06624634c1f46a6ad5be0f47f38aa | 2024-02-19T11:09:53+00:00 | 2022-03-02T23:29:04Z | false | False | null | 2,406,967 | null | 507 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"jax",
"tflite",
"rust",
"coreml",
"safetensors",
"gpt2",
"text-generation",
"exbert",
"en",
"dataset:openwebtext",
"arxiv:1910.01108",
"arxiv:2201.08542",
"arxiv:2203.12574",
"arxiv:1910.09700",
"arxiv:1503.02531",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 5 | datasets:
- openwebtext
language: en
license: apache-2.0
tags:
- exbert
co2_eq_emissions: 149200
model-index:
- name: distilgpt2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: WikiText-103
type: wikitext
metrics:
- type: perplexity
value: 21.1
name: Perplexity
verified: false | null | null | null | null | [
".gitattributes",
"64.tflite",
"README.md",
"config.json",
"coreml/text-generation/float32_model.mlpackage/Data/com.apple.CoreML/model.mlmodel",
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"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2024-02-19T11:09:53+00:00 | datasets:
- openwebtext
language: en
license: apache-2.0
tags:
- exbert
co2_eq_emissions: 149200
model-index:
- name: distilgpt2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: WikiText-103
type: wikitext
metrics:
- type: perplexity
value: 21.1
name: Perplexity
verified: false | null | 621ffdc036468d709f174348 | distilbert/distilgpt2 |
dslim/bert-base-NER | dslim | d1a3e8f13f8c3566299d95fcfc9a8d2382a9affc | 2024-10-08T07:51:39+00:00 | 2022-03-02T23:29:05Z | false | False | null | 5,203,257 | null | 586 | transformers | null | warm | null | [
"transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"bert",
"token-classification",
"en",
"dataset:conll2003",
"arxiv:1810.04805",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | null | 5 | datasets:
- conll2003
language: en
license: mit
model-index:
- name: dslim/bert-base-NER
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: conll2003
type: conll2003
config: conll2003
split: test
metrics:
- type: accuracy
value: 0.9118041001560013
name: Accuracy
verified: false
- type: precision
value: 0.9211550382257732
name: Precision
verified: false
- type: recall
value: 0.9306415698281261
name: Recall
verified: false
- type: f1
value: 0.9258740048459675
name: F1
verified: false
- type: loss
value: 0.48325642943382263
name: loss
verified: false | null | null | null | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"flax_model.msgpack",
"model.safetensors",
"onnx/added_tokens.json",
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"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2024-10-08T07:51:39+00:00 | datasets:
- conll2003
language: en
license: mit
model-index:
- name: dslim/bert-base-NER
results:
- task:
type: token-classification
name: Token Classification
dataset:
name: conll2003
type: conll2003
config: conll2003
split: test
metrics:
- type: accuracy
value: 0.9118041001560013
name: Accuracy
verified: false
- type: precision
value: 0.9211550382257732
name: Precision
verified: false
- type: recall
value: 0.9306415698281261
name: Recall
verified: false
- type: f1
value: 0.9258740048459675
name: F1
verified: false
- type: loss
value: 0.48325642943382263
name: loss
verified: false | null | 621ffdc136468d709f17a8e5 | dslim/bert-base-NER |
shibing624/text2vec-base-chinese | shibing624 | 183bb99aa7af74355fb58d16edf8c13ae7c5433e | 2024-11-14T06:26:28+00:00 | 2022-03-02T23:29:05Z | false | False | null | 665,557 | null | 707 | sentence-transformers | null | cold | null | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"openvino",
"bert",
"Sentence Transformers",
"sentence-similarity",
"zh",
"dataset:shibing624/nli_zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | sentence-similarity | null | 5 | datasets:
- shibing624/nli_zh
language:
- zh
library_name: sentence-transformers
license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- Sentence Transformers
- sentence-similarity
- sentence-transformers | null | null | null | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"logs.txt",
"model.safetensors",
"modules.json",
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"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2024-11-14T06:26:28+00:00 | datasets:
- shibing624/nli_zh
language:
- zh
library_name: sentence-transformers
license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- Sentence Transformers
- sentence-similarity
- sentence-transformers | null | 621ffdc136468d709f18046d | shibing624/text2vec-base-chinese |
cardiffnlp/twitter-roberta-base-sentiment-latest | cardiffnlp | 4ba3d4463bd152c9e4abd892b50844f30c646708 | 2023-05-28T05:45:10+00:00 | 2022-03-15T01:21:58Z | false | False | null | 2,096,037 | null | 656 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"roberta",
"text-classification",
"en",
"dataset:tweet_eval",
"arxiv:2202.03829",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 5 | datasets:
- tweet_eval
language: en
widget:
- text: Covid cases are increasing fast! | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"vocab.json"
] | null | null | null | 2023-05-28T05:45:10+00:00 | datasets:
- tweet_eval
language: en
widget:
- text: Covid cases are increasing fast! | null | 622fea36174feb5439c2e4be | cardiffnlp/twitter-roberta-base-sentiment-latest |
facebook/opt-125m | facebook | 27dcfa74d334bc871f3234de431e71c6eeba5dd6 | 2023-09-15T13:10:03+00:00 | 2022-05-11T08:25:17Z | false | False | null | 8,144,852 | null | 192 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"jax",
"opt",
"text-generation",
"en",
"arxiv:2205.01068",
"arxiv:2005.14165",
"license:other",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | text-generation | null | 5 | language: en
license: other
tags:
- text-generation
- opt
inference: false
commercial: false | null | null | null | null | [
".gitattributes",
"LICENSE.md",
"README.md",
"config.json",
"flax_model.msgpack",
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"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2023-09-15T13:10:03+00:00 | language: en
license: other
tags:
- text-generation
- opt
inference: false
commercial: false | null | 627b72ed67b1ac7afa4c42a7 | facebook/opt-125m |
facebook/nllb-200-3.3B | facebook | 1a07f7d195896b2114afcb79b7b57ab512e7b43e | 2023-02-11T20:19:13+00:00 | 2022-07-08T10:06:00Z | false | False | null | 113,374 | null | 306 | transformers | null | null | null | [
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"m2m_100",
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"nllb",
"translation",
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"zh",
"zsm",
"zu",
"dataset:flores-200",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"region:us"
] | translation | null | 5 | datasets:
- flores-200
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fur
- fuv
- gaz
- gd
- ga
- gl
- gn
- gu
- ht
- ha
- he
- hi
- hne
- hr
- hu
- hy
- ig
- ilo
- id
- is
- it
- jv
- ja
- kab
- kac
- kam
- kn
- ks
- ka
- kk
- kbp
- kea
- khk
- km
- ki
- rw
- ky
- kmb
- kmr
- knc
- kg
- ko
- lo
- lij
- li
- ln
- lt
- lmo
- ltg
- lb
- lua
- lg
- luo
- lus
- lvs
- mag
- mai
- ml
- mar
- min
- mk
- mt
- mni
- mos
- mi
- my
- nl
- nn
- nb
- npi
- nso
- nus
- ny
- oc
- ory
- pag
- pa
- pap
- pbt
- pes
- plt
- pl
- pt
- prs
- quy
- ro
- rn
- ru
- sg
- sa
- sat
- scn
- shn
- si
- sk
- sl
- sm
- sn
- sd
- so
- st
- es
- sc
- sr
- ss
- su
- sv
- swh
- szl
- ta
- taq
- tt
- te
- tg
- tl
- th
- ti
- tpi
- tn
- ts
- tk
- tum
- tr
- tw
- tzm
- ug
- uk
- umb
- ur
- uzn
- vec
- vi
- war
- wo
- xh
- ydd
- yo
- yue
- zh
- zsm
- zu
license: cc-by-nc-4.0
metrics:
- bleu
- spbleu
- chrf++
tags:
- nllb
- translation
language_details: ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab,
aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab, asm_Beng,
ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl, bam_Latn, ban_Latn,bel_Cyrl,
bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn, bod_Tibt, bos_Latn, bug_Latn,
bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn, cjk_Latn, ckb_Arab, crh_Latn, cym_Latn,
dan_Latn, deu_Latn, dik_Latn, dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn,
est_Latn, eus_Latn, ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn,
fra_Latn, fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr,
hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn, hye_Armn,
ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn, jpn_Jpan, kab_Latn,
kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva, kat_Geor, knc_Arab, knc_Latn,
kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr, kik_Latn, kin_Latn, kir_Cyrl, kmb_Latn,
kon_Latn, kor_Hang, kmr_Latn, lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn,
lit_Latn, lmo_Latn, ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn,
mag_Deva, mai_Deva, mal_Mlym, mar_Deva, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn,
mni_Beng, khk_Cyrl, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn, nno_Latn,
nob_Latn, npi_Deva, nso_Latn, nus_Latn, nya_Latn, oci_Latn, gaz_Latn, ory_Orya,
pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn, prs_Arab, pbt_Arab, quy_Latn,
ron_Latn, run_Latn, rus_Cyrl, sag_Latn, san_Deva, sat_Beng, scn_Latn, shn_Mymr,
sin_Sinh, slk_Latn, slv_Latn, smo_Latn, sna_Latn, snd_Arab, som_Latn, sot_Latn,
spa_Latn, als_Latn, srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn, swh_Latn,
szl_Latn, tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai, tir_Ethi,
taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn, tur_Latn,
twi_Latn, tzm_Tfng, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab, uzn_Latn, vec_Latn,
vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr, yor_Latn, yue_Hant, zho_Hans,
zho_Hant, zul_Latn
inference: false | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00003.bin",
"pytorch_model-00002-of-00003.bin",
"pytorch_model-00003-of-00003.bin",
"pytorch_model.bin.index.json",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2023-02-11T20:19:13+00:00 | datasets:
- flores-200
language:
- ace
- acm
- acq
- aeb
- af
- ajp
- ak
- als
- am
- apc
- ar
- ars
- ary
- arz
- as
- ast
- awa
- ayr
- azb
- azj
- ba
- bm
- ban
- be
- bem
- bn
- bho
- bjn
- bo
- bs
- bug
- bg
- ca
- ceb
- cs
- cjk
- ckb
- crh
- cy
- da
- de
- dik
- dyu
- dz
- el
- en
- eo
- et
- eu
- ee
- fo
- fj
- fi
- fon
- fr
- fur
- fuv
- gaz
- gd
- ga
- gl
- gn
- gu
- ht
- ha
- he
- hi
- hne
- hr
- hu
- hy
- ig
- ilo
- id
- is
- it
- jv
- ja
- kab
- kac
- kam
- kn
- ks
- ka
- kk
- kbp
- kea
- khk
- km
- ki
- rw
- ky
- kmb
- kmr
- knc
- kg
- ko
- lo
- lij
- li
- ln
- lt
- lmo
- ltg
- lb
- lua
- lg
- luo
- lus
- lvs
- mag
- mai
- ml
- mar
- min
- mk
- mt
- mni
- mos
- mi
- my
- nl
- nn
- nb
- npi
- nso
- nus
- ny
- oc
- ory
- pag
- pa
- pap
- pbt
- pes
- plt
- pl
- pt
- prs
- quy
- ro
- rn
- ru
- sg
- sa
- sat
- scn
- shn
- si
- sk
- sl
- sm
- sn
- sd
- so
- st
- es
- sc
- sr
- ss
- su
- sv
- swh
- szl
- ta
- taq
- tt
- te
- tg
- tl
- th
- ti
- tpi
- tn
- ts
- tk
- tum
- tr
- tw
- tzm
- ug
- uk
- umb
- ur
- uzn
- vec
- vi
- war
- wo
- xh
- ydd
- yo
- yue
- zh
- zsm
- zu
license: cc-by-nc-4.0
metrics:
- bleu
- spbleu
- chrf++
tags:
- nllb
- translation
language_details: ace_Arab, ace_Latn, acm_Arab, acq_Arab, aeb_Arab, afr_Latn, ajp_Arab,
aka_Latn, amh_Ethi, apc_Arab, arb_Arab, ars_Arab, ary_Arab, arz_Arab, asm_Beng,
ast_Latn, awa_Deva, ayr_Latn, azb_Arab, azj_Latn, bak_Cyrl, bam_Latn, ban_Latn,bel_Cyrl,
bem_Latn, ben_Beng, bho_Deva, bjn_Arab, bjn_Latn, bod_Tibt, bos_Latn, bug_Latn,
bul_Cyrl, cat_Latn, ceb_Latn, ces_Latn, cjk_Latn, ckb_Arab, crh_Latn, cym_Latn,
dan_Latn, deu_Latn, dik_Latn, dyu_Latn, dzo_Tibt, ell_Grek, eng_Latn, epo_Latn,
est_Latn, eus_Latn, ewe_Latn, fao_Latn, pes_Arab, fij_Latn, fin_Latn, fon_Latn,
fra_Latn, fur_Latn, fuv_Latn, gla_Latn, gle_Latn, glg_Latn, grn_Latn, guj_Gujr,
hat_Latn, hau_Latn, heb_Hebr, hin_Deva, hne_Deva, hrv_Latn, hun_Latn, hye_Armn,
ibo_Latn, ilo_Latn, ind_Latn, isl_Latn, ita_Latn, jav_Latn, jpn_Jpan, kab_Latn,
kac_Latn, kam_Latn, kan_Knda, kas_Arab, kas_Deva, kat_Geor, knc_Arab, knc_Latn,
kaz_Cyrl, kbp_Latn, kea_Latn, khm_Khmr, kik_Latn, kin_Latn, kir_Cyrl, kmb_Latn,
kon_Latn, kor_Hang, kmr_Latn, lao_Laoo, lvs_Latn, lij_Latn, lim_Latn, lin_Latn,
lit_Latn, lmo_Latn, ltg_Latn, ltz_Latn, lua_Latn, lug_Latn, luo_Latn, lus_Latn,
mag_Deva, mai_Deva, mal_Mlym, mar_Deva, min_Latn, mkd_Cyrl, plt_Latn, mlt_Latn,
mni_Beng, khk_Cyrl, mos_Latn, mri_Latn, zsm_Latn, mya_Mymr, nld_Latn, nno_Latn,
nob_Latn, npi_Deva, nso_Latn, nus_Latn, nya_Latn, oci_Latn, gaz_Latn, ory_Orya,
pag_Latn, pan_Guru, pap_Latn, pol_Latn, por_Latn, prs_Arab, pbt_Arab, quy_Latn,
ron_Latn, run_Latn, rus_Cyrl, sag_Latn, san_Deva, sat_Beng, scn_Latn, shn_Mymr,
sin_Sinh, slk_Latn, slv_Latn, smo_Latn, sna_Latn, snd_Arab, som_Latn, sot_Latn,
spa_Latn, als_Latn, srd_Latn, srp_Cyrl, ssw_Latn, sun_Latn, swe_Latn, swh_Latn,
szl_Latn, tam_Taml, tat_Cyrl, tel_Telu, tgk_Cyrl, tgl_Latn, tha_Thai, tir_Ethi,
taq_Latn, taq_Tfng, tpi_Latn, tsn_Latn, tso_Latn, tuk_Latn, tum_Latn, tur_Latn,
twi_Latn, tzm_Tfng, uig_Arab, ukr_Cyrl, umb_Latn, urd_Arab, uzn_Latn, vec_Latn,
vie_Latn, war_Latn, wol_Latn, xho_Latn, ydd_Hebr, yor_Latn, yue_Hant, zho_Hans,
zho_Hant, zul_Latn
inference: false | null | 62c8018851eb740327229910 | facebook/nllb-200-3.3B |
riffusion/riffusion-model-v1 | riffusion | 8f2e752c74e8316c6eb4fdaa6598a46ce1d88af5 | 2023-06-05T16:27:41+00:00 | 2022-12-13T02:28:17Z | false | False | null | 3,800 | null | 612 | diffusers | null | pipeline-library-pair-not-supported | null | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-audio",
"arxiv:2112.10752",
"arxiv:2103.00020",
"arxiv:2205.11487",
"arxiv:2210.08402",
"license:creativeml-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-audio | null | 5 | license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-audio
inference: true
extra_gated_prompt: "This model is open access and available to all, with a CreativeML\
\ OpenRAIL-M license further specifying rights and usage.\nThe CreativeML OpenRAIL\
\ License specifies: \n\n1. You can't use the model to deliberately produce nor\
\ share illegal or harmful outputs or content \n2. Riffusion claims no rights on\
\ the outputs you generate, you are free to use them and are accountable for their\
\ use which must not go against the provisions set in the license\n3. You may re-distribute\
\ the weights and use the model commercially and/or as a service. If you do, please\
\ be aware you have to include the same use restrictions as the ones in the license\
\ and share a copy of the CreativeML OpenRAIL-M to all your users (please read the\
\ license entirely and carefully)\nPlease read the full license carefully here:\
\ https://huggingface.co/spaces/CompVis/stable-diffusion-license\n "
extra_gated_heading: Please read the LICENSE to access this model | null | null | null | null | [
".gitattributes",
"README.md",
"feature_extractor/preprocessor_config.json",
"model_index.json",
"riffusion-model-v1.ckpt",
"safety_checker/config.json",
"safety_checker/pytorch_model.bin",
"scheduler/scheduler_config.json",
"seed_images/.DS_Store",
"seed_images/agile.png",
"seed_images/cut32_epic.png",
"seed_images/cut32_folksy.png",
"seed_images/cut32_funk.png",
"seed_images/cut32_hustle.png",
"seed_images/cut32_latin.png",
"seed_images/cut32_lounge.png",
"seed_images/cut32_pressure.png",
"seed_images/cut32_rock.png",
"seed_images/cut32_stomp.png",
"seed_images/cut32_wild.png",
"seed_images/cut_epic.png",
"seed_images/cut_folksy.png",
"seed_images/cut_funk.png",
"seed_images/cut_hustle.png",
"seed_images/cut_latin.png",
"seed_images/cut_lounge.png",
"seed_images/cut_pressure.png",
"seed_images/cut_rock.png",
"seed_images/cut_stomp.png",
"seed_images/cut_wild.png",
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"seed_images/folksy.png",
"seed_images/funk.png",
"seed_images/hustle.png",
"seed_images/latin.png",
"seed_images/lounge.png",
"seed_images/marim.png",
"seed_images/mask_beat_lines_80.png",
"seed_images/mask_gradient_dark.png",
"seed_images/mask_gradient_top_70.png",
"seed_images/mask_gradient_top_fifth_75.png",
"seed_images/mask_top_third_75.png",
"seed_images/mask_top_third_95.png",
"seed_images/motorway.png",
"seed_images/og_beat.png",
"seed_images/pressure.png",
"seed_images/rock.png",
"seed_images/stomp.png",
"seed_images/vibes.png",
"seed_images/wild.png",
"text_encoder/config.json",
"text_encoder/pytorch_model.bin",
"tokenizer/merges.txt",
"tokenizer/special_tokens_map.json",
"tokenizer/tokenizer_config.json",
"tokenizer/vocab.json",
"unet/config.json",
"unet/diffusion_pytorch_model.bin",
"unet_traced/unet_traced.pt",
"vae/config.json",
"vae/diffusion_pytorch_model.bin"
] | null | null | null | 2023-06-05T16:27:41+00:00 | license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-audio
inference: true
extra_gated_prompt: "This model is open access and available to all, with a CreativeML\
\ OpenRAIL-M license further specifying rights and usage.\nThe CreativeML OpenRAIL\
\ License specifies: \n\n1. You can't use the model to deliberately produce nor\
\ share illegal or harmful outputs or content \n2. Riffusion claims no rights on\
\ the outputs you generate, you are free to use them and are accountable for their\
\ use which must not go against the provisions set in the license\n3. You may re-distribute\
\ the weights and use the model commercially and/or as a service. If you do, please\
\ be aware you have to include the same use restrictions as the ones in the license\
\ and share a copy of the CreativeML OpenRAIL-M to all your users (please read the\
\ license entirely and carefully)\nPlease read the full license carefully here:\
\ https://huggingface.co/spaces/CompVis/stable-diffusion-license\n "
extra_gated_heading: Please read the LICENSE to access this model | null | 6397e3417fc407e57417ee4e | riffusion/riffusion-model-v1 |
medicalai/ClinicalBERT | medicalai | 3bb5faa9f33458dd7801549e88767c3b23264942 | 2023-09-15T08:46:54+00:00 | 2023-03-19T15:04:41Z | false | False | null | 264,256 | null | 223 | transformers | null | null | null | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"medical",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | null | 5 | tags:
- medical | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | null | null | null | 2023-09-15T08:46:54+00:00 | tags:
- medical | null | 64172489f4d1968f73e9aabe | medicalai/ClinicalBERT |
lllyasviel/ControlNet-v1-1 | lllyasviel | 69fc48b9cbd98661f6d0288dc59b59a5ccb32a6b | 2023-04-25T22:46:12+00:00 | 2023-04-12T22:41:03Z | false | False | null | 0 | null | 3,778 | null | null | null | null | [
"license:openrail",
"region:us"
] | null | null | 5 | license: openrail | null | null | null | null | [
".gitattributes",
"README.md",
"control_v11e_sd15_ip2p.pth",
"control_v11e_sd15_ip2p.yaml",
"control_v11e_sd15_shuffle.pth",
"control_v11e_sd15_shuffle.yaml",
"control_v11f1e_sd15_tile.pth",
"control_v11f1e_sd15_tile.yaml",
"control_v11f1p_sd15_depth.pth",
"control_v11f1p_sd15_depth.yaml",
"control_v11p_sd15_canny.pth",
"control_v11p_sd15_canny.yaml",
"control_v11p_sd15_inpaint.pth",
"control_v11p_sd15_inpaint.yaml",
"control_v11p_sd15_lineart.pth",
"control_v11p_sd15_lineart.yaml",
"control_v11p_sd15_mlsd.pth",
"control_v11p_sd15_mlsd.yaml",
"control_v11p_sd15_normalbae.pth",
"control_v11p_sd15_normalbae.yaml",
"control_v11p_sd15_openpose.pth",
"control_v11p_sd15_openpose.yaml",
"control_v11p_sd15_scribble.pth",
"control_v11p_sd15_scribble.yaml",
"control_v11p_sd15_seg.pth",
"control_v11p_sd15_seg.yaml",
"control_v11p_sd15_softedge.pth",
"control_v11p_sd15_softedge.yaml",
"control_v11p_sd15s2_lineart_anime.pth",
"control_v11p_sd15s2_lineart_anime.yaml"
] | null | null | null | 2023-04-25T22:46:12+00:00 | license: openrail | null | 6437337f535846fc73640937 | lllyasviel/ControlNet-v1-1 |
s2w-ai/DarkBERT | s2w-ai | 14c8e0e9fb067e5598038b16b50f2deb2ae07958 | 2024-07-08T08:16:26+00:00 | 2023-07-07T06:38:09Z | false | manual | null | 292 | null | 139 | transformers | null | not-popular-enough | null | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"en",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | null | 5 | language:
- en
license: cc-by-nc-4.0
pipeline_tag: fill-mask
widget:
- text: The most trusted online bulk <mask> seller in the world -Consistent 90%+ purity
-All shipments straight off the brick. 250-500g orders received a portion of a
stamped brick. At 1000g, full stamped bricks are shipped. -We utilize the best
packaging equipment available for the highest level of stealth and security.
extra_gated_prompt: 'DarkBERT is available for access upon request. Users may submit
their request using the form below, which includes the **name of the user**, the
**user’s institution**, the **user’s email address that matches the institution**
*(we especially emphasize this part; any non-academic addresses such as gmail, tutanota,
protonmail, etc. are automatically rejected as it makes it difficult for us to verify
your affiliation to the institution)*, and the **purpose of usage** *(in as much
detail as possible)*. By requesting and downloading DarkBERT, the user agrees to
the following: the user acknowledges that the use of this model is restricted to
research and/or academic purposes only. Access to the model will be granted after
the request is manually reviewed. A request may be declined if it does not sufficiently
describe research purposes that follow the ACM Code of Ethics (https://www.acm.org/code-of-ethics).
The information provided by the requesting user will not be used in any way except
for sending the dataset to the user and keeping track of request history for DarkBERT.
By requesting for the model, the user agrees to our collection of the provided information.
This model shall only be used for non-profit research purposes and in a manner consistent
with fair practice. Do not redistribute this dataset to others. The user should
indicate the source of this model (found at the bottom of the page) when using or
citing the model in their research or article.'
extra_gated_fields:
Full Name: text
Affiliated Institution / Organization / University: text
E-mail (must match affiliation, generic domains such as gmail not allowed): text
Position (ex doctoral student, professor, researcher, etc): text
Purpose of Usage (Please describe the purpose of usage in as much detail as possible): text
Country: text
I have read the conditions and agree to use this model for ethical, non-commercial use ONLY: checkbox
? A request cannot be modified once submitted; I understand that requests with incomplete,
insufficient, or inaccurate information will be rejected
: checkbox | null | null | null | null | [
".gitattributes",
"README.md",
"benchmark-dataset/leaksite_detection_dataset.tsv",
"benchmark-dataset/noteworthy_detection_dataset.tsv",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | null | null | null | 2024-07-08T08:16:26+00:00 | language:
- en
license: cc-by-nc-4.0
pipeline_tag: fill-mask
widget:
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extra_gated_prompt: 'DarkBERT is available for access upon request. Users may submit
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**user’s institution**, the **user’s email address that matches the institution**
*(we especially emphasize this part; any non-academic addresses such as gmail, tutanota,
protonmail, etc. are automatically rejected as it makes it difficult for us to verify
your affiliation to the institution)*, and the **purpose of usage** *(in as much
detail as possible)*. By requesting and downloading DarkBERT, the user agrees to
the following: the user acknowledges that the use of this model is restricted to
research and/or academic purposes only. Access to the model will be granted after
the request is manually reviewed. A request may be declined if it does not sufficiently
describe research purposes that follow the ACM Code of Ethics (https://www.acm.org/code-of-ethics).
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This model shall only be used for non-profit research purposes and in a manner consistent
with fair practice. Do not redistribute this dataset to others. The user should
indicate the source of this model (found at the bottom of the page) when using or
citing the model in their research or article.'
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mistralai/Mistral-7B-Instruct-v0.2 | mistralai | 3ad372fc79158a2148299e3318516c786aeded6c | 2024-09-27T10:41:20+00:00 | 2023-12-11T13:18:44Z | false | auto | null | 3,696,512 | null | 2,695 | transformers | null | null | null | [
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stabilityai/stable-video-diffusion-img2vid-xt-1-1 | stabilityai | 043843887ccd51926e3efed36270444a838e7861 | 2024-07-10T11:52:10+00:00 | 2024-02-02T15:40:53Z | false | auto | null | 94,389 | null | 882 | diffusers | null | pipeline-library-pair-not-supported | null | [
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extra_gated_prompt: "STABILITY AI COMMUNITY LICENSE AGREEMENT Last Updated: July 5,\
\ 2024 1. INTRODUCTION\nThis Agreement applies to any individual person or entity\
\ (“You”, “Your” or “Licensee”) that uses or distributes any portion or element\
\ of the Stability AI Materials or Derivative Works thereof for any Research &\
\ Non-Commercial or Commercial purpose. Capitalized terms not otherwise defined\
\ herein are defined in Section V below.\nThis Agreement is intended to allow research,\
\ non-commercial, and limited commercial uses of the Models free of charge. In order\
\ to ensure that certain limited commercial uses of the Models continue to be allowed,\
\ this Agreement preserves free access to the Models for people or organizations\
\ generating annual revenue of less than US $1,000,000 (or local currency equivalent).\
\ \nBy clicking “I Accept” or by using or distributing or using any portion or\
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\ read, understood and are bound by the terms of this Agreement. If You are acting\
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\ and that entity, and You agree that You: (i) are an authorized representative\
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\ If You are using or distributing the Stability AI Materials for a Commercial\
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\ If at any time You or Your Affiliate(s), either individually or in aggregate,\
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4. GENERAL TERMS\nYour Research, Non-Commercial, and Commercial License(s) under\
\ this Agreement are subject to the following terms. a. Distribution & Attribution.\
\ If You distribute or make available the Stability AI Materials or a Derivative\
\ Work to a third party, or a product or service that uses any portion of them,\
\ You shall: (i) provide a copy of this Agreement to that third party, (ii) retain\
\ the following attribution notice within a \"Notice\" text file distributed as\
\ a part of such copies: \"This Stability AI Model is licensed under the Stability\
\ AI Community License, Copyright © Stability AI Ltd. All Rights Reserved”, and\
\ (iii) prominently display “Powered by Stability AI” on a related website, user\
\ interface, blogpost, about page, or product documentation. If You create a Derivative\
\ Work, You may add your own attribution notice(s) to the “Notice” text file included\
\ with that Derivative Work, provided that You clearly indicate which attributions\
\ apply to the Stability AI Materials and state in the “Notice” text file that You\
\ changed the Stability AI Materials and how it was modified. b. Use Restrictions.\
\ Your use of the Stability AI Materials and Derivative Works, including any output\
\ or results of the Stability AI Materials or Derivative Works, must comply with\
\ applicable laws and regulations (including Trade Control Laws and equivalent regulations)\
\ and adhere to the Documentation and Stability AI’s AUP, which is hereby incorporated\
\ by reference. Furthermore, You will not use the Stability AI Materials or Derivative\
\ Works, or any output or results of the Stability AI Materials or Derivative Works,\
\ to create or improve any foundational generative AI model (excluding the Models\
\ or Derivative Works). c. Intellectual Property. (i) Trademark License. No\
\ trademark licenses are granted under this Agreement, and in connection with the\
\ Stability AI Materials or Derivative Works, You may not use any name or mark owned\
\ by or associated with Stability AI or any of its Affiliates, except as required\
\ under Section IV(a) herein. (ii) Ownership of Derivative Works. As between You\
\ and Stability AI, You are the owner of Derivative Works You create, subject to\
\ Stability AI’s ownership of the Stability AI Materials and any Derivative Works\
\ made by or for Stability AI. (iii) Ownership of Outputs. As between You and Stability\
\ AI, You own any outputs generated from the Models or Derivative Works to the extent\
\ permitted by applicable law. (iv) Disputes. If You or Your Affiliate(s) institute\
\ litigation or other proceedings against Stability AI (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Stability AI Materials, Derivative\
\ Works or associated outputs or results, or any portion of any of the foregoing,\
\ constitutes infringement of intellectual property or other rights owned or licensable\
\ by You, then any licenses granted to You under this Agreement shall terminate\
\ as of the date such litigation or claim is filed or instituted. You will indemnify\
\ and hold harmless Stability AI from and against any claim by any third party arising\
\ out of or related to Your use or distribution of the Stability AI Materials or\
\ Derivative Works in violation of this Agreement. (v) Feedback. From time to\
\ time, You may provide Stability AI with verbal and/or written suggestions, comments\
\ or other feedback related to Stability AI’s existing or prospective technology,\
\ products or services (collectively, “Feedback”). You are not obligated to provide\
\ Stability AI with Feedback, but to the extent that You do, You hereby grant Stability\
\ AI a perpetual, irrevocable, royalty-free, fully-paid, sub-licensable, transferable,\
\ non-exclusive, worldwide right and license to exploit the Feedback in any manner\
\ without restriction. Your Feedback is provided “AS IS” and You make no warranties\
\ whatsoever about any Feedback. d. Disclaimer Of Warranty. UNLESS REQUIRED BY\
\ APPLICABLE LAW, THE STABILITY AI MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
\ ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS\
\ OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT,\
\ MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE\
\ FOR DETERMINING THE APPROPRIATENESS OR LAWFULNESS OF USING OR REDISTRIBUTING THE\
\ STABILITY AI MATERIALS, DERIVATIVE WORKS OR ANY OUTPUT OR RESULTS AND ASSUME ANY\
\ RISKS ASSOCIATED WITH YOUR USE OF THE STABILITY AI MATERIALS, DERIVATIVE WORKS\
\ AND ANY OUTPUT AND RESULTS. e. Limitation Of Liability. IN NO EVENT WILL STABILITY\
\ AI OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,\
\ TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT,\
\ FOR ANY LOST PROFITS OR ANY DIRECT, INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL,\
\ EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF STABILITY AI OR ITS AFFILIATES HAVE BEEN\
\ ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. f. Term And Termination.\
\ The term of this Agreement will commence upon Your acceptance of this Agreement\
\ or access to the Stability AI Materials and will continue in full force and effect\
\ until terminated in accordance with the terms and conditions herein. Stability\
\ AI may terminate this Agreement if You are in breach of any term or condition\
\ of this Agreement. Upon termination of this Agreement, You shall delete and cease\
\ use of any Stability AI Materials or Derivative Works. Section IV(d), (e), and\
\ (g) shall survive the termination of this Agreement. g. Governing Law. This\
\ Agreement will be governed by and constructed in accordance with the laws of the\
\ United States and the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for International Sale of Goods does not apply\
\ to this Agreement.\n5. DEFINITIONS \n“Affiliate(s)” means any entity that directly\
\ or indirectly controls, is controlled by, or is under common control with the\
\ subject entity; for purposes of this definition, “control” means direct or indirect\
\ ownership or control of more than 50% of the voting interests of the subject entity.\n\
\"Agreement\" means this Stability AI Community License Agreement.\n“AUP” means\
\ the Stability AI Acceptable Use Policy available at (https://stability.ai/use-policy),\
\ as may be updated from time to time.\n\"Derivative Work(s)” means (a) any derivative\
\ work of the Stability AI Materials as recognized by U.S. copyright laws and (b)\
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\ derived from the Model or the Model’s output, including “fine tune” and “low-rank\
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\ and other written information provided by Stability AI related to the Software\
\ or Models.\n“Model(s)\" means, collectively, Stability AI’s proprietary models\
\ and algorithms, including machine-learning models, trained model weights and other\
\ elements of the foregoing listed on Stability’s Core Models Webpage available\
\ at (https://stability.ai/core-models), as may be updated from time to time.\n\"\
Stability AI\" or \"we\" means Stability AI Ltd. and its Affiliates.\n\"Software\"\
\ means Stability AI’s proprietary software made available under this Agreement\
\ now or in the future.\n“Stability AI Materials” means, collectively, Stability’s\
\ proprietary Models, Software and Documentation (and any portion or combination\
\ thereof) made available under this Agreement. \n“Trade Control Laws” means any\
\ applicable U.S. and non-U.S. export control and trade sanctions laws and regulations. "
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extra_gated_fields:
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Company Name (if applicable): text
Email: text
Other Comments: text
? By clicking here, you accept the License agreement, and will use the Software
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: checkbox
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our products and services
: checkbox | null | null | null | null | [
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] | null | null | null | 2024-07-10T11:52:10+00:00 | license: other
license_name: stable-video-diffusion-1-1-community
license_link: LICENSE.md
pipeline_tag: image-to-video
extra_gated_prompt: "STABILITY AI COMMUNITY LICENSE AGREEMENT Last Updated: July 5,\
\ 2024 1. INTRODUCTION\nThis Agreement applies to any individual person or entity\
\ (“You”, “Your” or “Licensee”) that uses or distributes any portion or element\
\ of the Stability AI Materials or Derivative Works thereof for any Research &\
\ Non-Commercial or Commercial purpose. Capitalized terms not otherwise defined\
\ herein are defined in Section V below.\nThis Agreement is intended to allow research,\
\ non-commercial, and limited commercial uses of the Models free of charge. In order\
\ to ensure that certain limited commercial uses of the Models continue to be allowed,\
\ this Agreement preserves free access to the Models for people or organizations\
\ generating annual revenue of less than US $1,000,000 (or local currency equivalent).\
\ \nBy clicking “I Accept” or by using or distributing or using any portion or\
\ element of the Stability Materials or Derivative Works, You agree that You have\
\ read, understood and are bound by the terms of this Agreement. If You are acting\
\ on behalf of a company, organization or other entity, then “You” includes you\
\ and that entity, and You agree that You: (i) are an authorized representative\
\ of such entity with the authority to bind such entity to this Agreement, and (ii)\
\ You agree to the terms of this Agreement on that entity’s behalf. \n2. RESEARCH\
\ & NON-COMMERCIAL USE LICENSE\nSubject to the terms of this Agreement, Stability\
\ AI grants You a non-exclusive, worldwide, non-transferable, non-sublicensable,\
\ revocable and royalty-free limited license under Stability AI’s intellectual property\
\ or other rights owned by Stability AI embodied in the Stability AI Materials to\
\ use, reproduce, distribute, and create Derivative Works of, and make modifications\
\ to, the Stability AI Materials for any Research or Non-Commercial Purpose. “Research\
\ Purpose” means academic or scientific advancement, and in each case, is not primarily\
\ intended for commercial advantage or monetary compensation to You or others. “Non-Commercial\
\ Purpose” means any purpose other than a Research Purpose that is not primarily\
\ intended for commercial advantage or monetary compensation to You or others, such\
\ as personal use (i.e., hobbyist) or evaluation and testing. \n3. COMMERCIAL USE\
\ LICENSE\nSubject to the terms of this Agreement (including the remainder of this\
\ Section III), Stability AI grants You a non-exclusive, worldwide, non-transferable,\
\ non-sublicensable, revocable and royalty-free limited license under Stability\
\ AI’s intellectual property or other rights owned by Stability AI embodied in the\
\ Stability AI Materials to use, reproduce, distribute, and create Derivative Works\
\ of, and make modifications to, the Stability AI Materials for any Commercial Purpose.\
\ “Commercial Purpose” means any purpose other than a Research Purpose or Non-Commercial\
\ Purpose that is primarily intended for commercial advantage or monetary compensation\
\ to You or others, including but not limited to, (i) creating, modifying, or distributing\
\ Your product or service, including via a hosted service or application programming\
\ interface, and (ii) for Your business’s or organization’s internal operations.\
\ If You are using or distributing the Stability AI Materials for a Commercial\
\ Purpose, You must register with Stability AI at (https://stability.ai/community-license).\
\ If at any time You or Your Affiliate(s), either individually or in aggregate,\
\ generate more than USD $1,000,000 in annual revenue (or the equivalent thereof\
\ in Your local currency), regardless of whether that revenue is generated directly\
\ or indirectly from the Stability AI Materials or Derivative Works, any licenses\
\ granted to You under this Agreement shall terminate as of such date. You must\
\ request a license from Stability AI at (https://stability.ai/enterprise) , which\
\ Stability AI may grant to You in its sole discretion. If you receive Stability\
\ AI Materials, or any Derivative Works thereof, from a Licensee as part of an integrated\
\ end user product, then Section III of this Agreement will not apply to you.\n\
4. GENERAL TERMS\nYour Research, Non-Commercial, and Commercial License(s) under\
\ this Agreement are subject to the following terms. a. Distribution & Attribution.\
\ If You distribute or make available the Stability AI Materials or a Derivative\
\ Work to a third party, or a product or service that uses any portion of them,\
\ You shall: (i) provide a copy of this Agreement to that third party, (ii) retain\
\ the following attribution notice within a \"Notice\" text file distributed as\
\ a part of such copies: \"This Stability AI Model is licensed under the Stability\
\ AI Community License, Copyright © Stability AI Ltd. All Rights Reserved”, and\
\ (iii) prominently display “Powered by Stability AI” on a related website, user\
\ interface, blogpost, about page, or product documentation. If You create a Derivative\
\ Work, You may add your own attribution notice(s) to the “Notice” text file included\
\ with that Derivative Work, provided that You clearly indicate which attributions\
\ apply to the Stability AI Materials and state in the “Notice” text file that You\
\ changed the Stability AI Materials and how it was modified. b. Use Restrictions.\
\ Your use of the Stability AI Materials and Derivative Works, including any output\
\ or results of the Stability AI Materials or Derivative Works, must comply with\
\ applicable laws and regulations (including Trade Control Laws and equivalent regulations)\
\ and adhere to the Documentation and Stability AI’s AUP, which is hereby incorporated\
\ by reference. Furthermore, You will not use the Stability AI Materials or Derivative\
\ Works, or any output or results of the Stability AI Materials or Derivative Works,\
\ to create or improve any foundational generative AI model (excluding the Models\
\ or Derivative Works). c. Intellectual Property. (i) Trademark License. No\
\ trademark licenses are granted under this Agreement, and in connection with the\
\ Stability AI Materials or Derivative Works, You may not use any name or mark owned\
\ by or associated with Stability AI or any of its Affiliates, except as required\
\ under Section IV(a) herein. (ii) Ownership of Derivative Works. As between You\
\ and Stability AI, You are the owner of Derivative Works You create, subject to\
\ Stability AI’s ownership of the Stability AI Materials and any Derivative Works\
\ made by or for Stability AI. (iii) Ownership of Outputs. As between You and Stability\
\ AI, You own any outputs generated from the Models or Derivative Works to the extent\
\ permitted by applicable law. (iv) Disputes. If You or Your Affiliate(s) institute\
\ litigation or other proceedings against Stability AI (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Stability AI Materials, Derivative\
\ Works or associated outputs or results, or any portion of any of the foregoing,\
\ constitutes infringement of intellectual property or other rights owned or licensable\
\ by You, then any licenses granted to You under this Agreement shall terminate\
\ as of the date such litigation or claim is filed or instituted. You will indemnify\
\ and hold harmless Stability AI from and against any claim by any third party arising\
\ out of or related to Your use or distribution of the Stability AI Materials or\
\ Derivative Works in violation of this Agreement. (v) Feedback. From time to\
\ time, You may provide Stability AI with verbal and/or written suggestions, comments\
\ or other feedback related to Stability AI’s existing or prospective technology,\
\ products or services (collectively, “Feedback”). You are not obligated to provide\
\ Stability AI with Feedback, but to the extent that You do, You hereby grant Stability\
\ AI a perpetual, irrevocable, royalty-free, fully-paid, sub-licensable, transferable,\
\ non-exclusive, worldwide right and license to exploit the Feedback in any manner\
\ without restriction. Your Feedback is provided “AS IS” and You make no warranties\
\ whatsoever about any Feedback. d. Disclaimer Of Warranty. UNLESS REQUIRED BY\
\ APPLICABLE LAW, THE STABILITY AI MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
\ ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS\
\ OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT,\
\ MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE\
\ FOR DETERMINING THE APPROPRIATENESS OR LAWFULNESS OF USING OR REDISTRIBUTING THE\
\ STABILITY AI MATERIALS, DERIVATIVE WORKS OR ANY OUTPUT OR RESULTS AND ASSUME ANY\
\ RISKS ASSOCIATED WITH YOUR USE OF THE STABILITY AI MATERIALS, DERIVATIVE WORKS\
\ AND ANY OUTPUT AND RESULTS. e. Limitation Of Liability. IN NO EVENT WILL STABILITY\
\ AI OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,\
\ TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT,\
\ FOR ANY LOST PROFITS OR ANY DIRECT, INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL,\
\ EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF STABILITY AI OR ITS AFFILIATES HAVE BEEN\
\ ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING. f. Term And Termination.\
\ The term of this Agreement will commence upon Your acceptance of this Agreement\
\ or access to the Stability AI Materials and will continue in full force and effect\
\ until terminated in accordance with the terms and conditions herein. Stability\
\ AI may terminate this Agreement if You are in breach of any term or condition\
\ of this Agreement. Upon termination of this Agreement, You shall delete and cease\
\ use of any Stability AI Materials or Derivative Works. Section IV(d), (e), and\
\ (g) shall survive the termination of this Agreement. g. Governing Law. This\
\ Agreement will be governed by and constructed in accordance with the laws of the\
\ United States and the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for International Sale of Goods does not apply\
\ to this Agreement.\n5. DEFINITIONS \n“Affiliate(s)” means any entity that directly\
\ or indirectly controls, is controlled by, or is under common control with the\
\ subject entity; for purposes of this definition, “control” means direct or indirect\
\ ownership or control of more than 50% of the voting interests of the subject entity.\n\
\"Agreement\" means this Stability AI Community License Agreement.\n“AUP” means\
\ the Stability AI Acceptable Use Policy available at (https://stability.ai/use-policy),\
\ as may be updated from time to time.\n\"Derivative Work(s)” means (a) any derivative\
\ work of the Stability AI Materials as recognized by U.S. copyright laws and (b)\
\ any modifications to a Model, and any other model created which is based on or\
\ derived from the Model or the Model’s output, including “fine tune” and “low-rank\
\ adaptation” models derived from a Model or a Model’s output, but do not include\
\ the output of any Model.\n“Documentation” means any specifications, manuals, documentation,\
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\ or Models.\n“Model(s)\" means, collectively, Stability AI’s proprietary models\
\ and algorithms, including machine-learning models, trained model weights and other\
\ elements of the foregoing listed on Stability’s Core Models Webpage available\
\ at (https://stability.ai/core-models), as may be updated from time to time.\n\"\
Stability AI\" or \"we\" means Stability AI Ltd. and its Affiliates.\n\"Software\"\
\ means Stability AI’s proprietary software made available under this Agreement\
\ now or in the future.\n“Stability AI Materials” means, collectively, Stability’s\
\ proprietary Models, Software and Documentation (and any portion or combination\
\ thereof) made available under this Agreement. \n“Trade Control Laws” means any\
\ applicable U.S. and non-U.S. export control and trade sanctions laws and regulations. "
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extra_gated_button_content: Submit
extra_gated_fields:
Name: text
Company Name (if applicable): text
Email: text
Other Comments: text
? By clicking here, you accept the License agreement, and will use the Software
Products and Derivative Works for non-commercial or research purposes only
: checkbox
? By clicking here, you agree to sharing with Stability AI the information contained
within this form and that Stability AI can contact you for the purposes of marketing
our products and services
: checkbox | null | 65bd0d057c6ad1994bad7377 | stabilityai/stable-video-diffusion-img2vid-xt-1-1 |
google/gemma-7b | google | ff6768d9368919a1f025a54f9f5aa0ee591730bb | 2024-06-27T14:09:40+00:00 | 2024-02-08T22:36:43Z | false | manual | null | 56,729 | null | 3,140 | transformers | null | null | null | [
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license: gemma
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | null | null | null | [
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license: gemma
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | 65c5577b1080431ea9e083cd | google/gemma-7b |
amazon/chronos-t5-small | amazon | 6bcab32367f856115ca07bdd7f4956eced00a4b5 | 2025-02-17T10:42:38+00:00 | 2024-02-21T10:06:21Z | false | False | null | 54,014,172 | null | 50 | transformers | null | null | null | [
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Kwai-Kolors/Kolors | Kwai-Kolors | 59e638b67119d3b8e74c3f4905c6572deb4dbfbc | 2024-07-12T09:26:09+00:00 | 2024-06-05T05:26:43Z | false | False | null | 3,045 | null | 786 | diffusers | null | null | null | [
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zer0int/CLIP-GmP-ViT-L-14 | zer0int | 3cf34636aee1879dc26f0df1548bbad9cd8a5e24 | 2024-09-23T18:00:45+00:00 | 2024-06-15T12:47:19Z | false | False | null | 5,822 | null | 412 | transformers | null | not-popular-enough | null | [
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Kijai/flux-fp8 | Kijai | 9430754eafce500df32272329dcac0a7a7d04653 | 2025-02-12T15:00:19+00:00 | 2024-08-01T19:40:38Z | false | False | null | 0 | null | 805 | null | null | null | null | [
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city96/FLUX.1-schnell-gguf | city96 | f495746ed9c5efcf4661f53ef05401dceadc17d2 | 2024-08-18T08:13:37+00:00 | 2024-08-15T02:30:12Z | false | False | null | 35,627 | null | 240 | gguf | null | pipeline-library-pair-not-supported | null | [
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microsoft/Phi-3.5-mini-instruct | microsoft | 3145e03a9fd4cdd7cd953c34d9bbf7ad606122ca | 2025-03-02T22:27:58+00:00 | 2024-08-16T20:48:26Z | false | False | null | 246,865 | null | 847 | transformers | null | null | null | [
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city96/t5-v1_1-xxl-encoder-gguf | city96 | 005a6ea51a7d0b84d677b3e633bb52a8c85a83d9 | 2024-08-20T04:24:45+00:00 | 2024-08-19T18:39:47Z | false | False | null | 72,884 | null | 323 | gguf | null | pipeline-not-detected | null | [
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Qwen/Qwen2.5-7B | Qwen | d149729398750b98c0af14eb82c78cfe92750796 | 2024-09-25T12:32:32+00:00 | 2024-09-15T12:17:40Z | false | False | null | 381,710 | null | 159 | transformers | null | null | null | [
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jinaai/jina-clip-v2 | jinaai | d649e356ad6b7c6d0d25900ba9b0fddb1879b793 | 2025-03-07T12:37:29+00:00 | 2024-10-08T14:34:45Z | false | False | null | 92,396 | null | 211 | transformers | null | null | null | [
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inference: false | null | 670543056dc61e9193430c7f | jinaai/jina-clip-v2 |
Shitao/OmniGen-v1 | Shitao | 58e249c7c7634423c0ba41c34a774af79aa87889 | 2024-11-07T12:45:08+00:00 | 2024-10-21T05:40:19Z | false | False | null | 9,547 | null | 305 | diffusers | null | not-popular-enough | null | [
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stabilityai/stable-diffusion-3.5-medium | stabilityai | b940f670f0eda2d07fbb75229e779da1ad11eb80 | 2024-10-31T08:18:43+00:00 | 2024-10-29T10:27:32Z | false | auto | null | 206,587 | null | 655 | diffusers | null | cold | null | [
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Snowflake/snowflake-arctic-embed-l-v2.0 | Snowflake | 7f311bb640ad3babc0a4e3a8873240dcba44c9d2 | 2024-12-14T00:18:38+00:00 | 2024-11-08T16:55:31Z | false | False | null | 81,540 | null | 139 | sentence-transformers | null | null | null | [
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dataset:
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type: mteb/arxiv-clustering-p2p
config: default
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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type: Clustering
dataset:
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type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
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dataset:
name: MTEB AskUbuntuDupQuestions (default)
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
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dataset:
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type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
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dataset:
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type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
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dataset:
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type: mteb/biorxiv-clustering-p2p
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split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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dataset:
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type: mteb/biorxiv-clustering-s2s
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split: test
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dataset:
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type: mteb/cqadupstack-android
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
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type: mteb/cqadupstack-english
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revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
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type: CQADupstackRetrieval_is_a_combined_dataset
config: default
split: test
revision: CQADupstackRetrieval_is_a_combined_dataset
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revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
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revision: 46989137a86843e03a6195de44b09deda022eec7
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dataset:
name: MTEB ImdbClassification (default)
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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dataset:
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type: mteb/msmarco
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
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type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
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verified: false
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- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
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value: 67.7907
verified: false
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value: 48.2877
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value: 70.3225
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value: 67.7907
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- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 4672e20407010da34463acc759c162ca9734bca6
metrics:
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value: 71.456
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value: 68.2268
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value: 71.456
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type: Classification
dataset:
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type: mteb/amazon_massive_scenario
config: en
split: test
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
metrics:
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verified: false
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- task:
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dataset:
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type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
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value: 31.3917
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dataset:
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type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
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value: 28.2408
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value: 28.2408
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- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking (default)
type: mteb/mind_small
config: default
split: test
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
metrics:
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dataset:
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type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
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revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: pearson
value: 77.8946
verified: false
- type: spearman
value: 80.4405
verified: false
- type: cosine_pearson
value: 77.8946
verified: false
- type: cosine_spearman
value: 80.4405
verified: false
- type: manhattan_pearson
value: 79.6856
verified: false
- type: manhattan_spearman
value: 80.1236
verified: false
- type: euclidean_pearson
value: 80.0315
verified: false
- type: euclidean_spearman
value: 80.44059999999999
verified: false
- type: main_score
value: 80.4405
verified: false
- task:
type: STS
dataset:
name: MTEB STS14 (default)
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: pearson
value: 76.2196
verified: false
- type: spearman
value: 75.10419999999999
verified: false
- type: cosine_pearson
value: 76.2196
verified: false
- type: cosine_spearman
value: 75.10419999999999
verified: false
- type: manhattan_pearson
value: 75.4647
verified: false
- type: manhattan_spearman
value: 74.81179999999999
verified: false
- type: euclidean_pearson
value: 75.8091
verified: false
- type: euclidean_spearman
value: 75.10419999999999
verified: false
- type: main_score
value: 75.10419999999999
verified: false
- task:
type: STS
dataset:
name: MTEB STS15 (default)
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: pearson
value: 81.2455
verified: false
- type: spearman
value: 82.8681
verified: false
- type: cosine_pearson
value: 81.2455
verified: false
- type: cosine_spearman
value: 82.8681
verified: false
- type: manhattan_pearson
value: 82.4327
verified: false
- type: manhattan_spearman
value: 82.7513
verified: false
- type: euclidean_pearson
value: 82.5635
verified: false
- type: euclidean_spearman
value: 82.8681
verified: false
- type: main_score
value: 82.8681
verified: false
- task:
type: STS
dataset:
name: MTEB STS16 (default)
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: pearson
value: 81.6322
verified: false
- type: spearman
value: 83.487
verified: false
- type: cosine_pearson
value: 81.6322
verified: false
- type: cosine_spearman
value: 83.487
verified: false
- type: manhattan_pearson
value: 83.0048
verified: false
- type: manhattan_spearman
value: 83.4064
verified: false
- type: euclidean_pearson
value: 83.0938
verified: false
- type: euclidean_spearman
value: 83.487
verified: false
- type: main_score
value: 83.487
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 81.1124
verified: false
- type: spearman
value: 84.5436
verified: false
- type: cosine_pearson
value: 81.1124
verified: false
- type: cosine_spearman
value: 84.5436
verified: false
- type: manhattan_pearson
value: 83.5158
verified: false
- type: manhattan_spearman
value: 84.596
verified: false
- type: euclidean_pearson
value: 83.4429
verified: false
- type: euclidean_spearman
value: 84.5436
verified: false
- type: main_score
value: 84.5436
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-tr)
type: mteb/sts17-crosslingual-sts
config: en-tr
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 62.0001
verified: false
- type: spearman
value: 63.631099999999996
verified: false
- type: cosine_pearson
value: 62.0001
verified: false
- type: cosine_spearman
value: 63.631099999999996
verified: false
- type: manhattan_pearson
value: 62.239599999999996
verified: false
- type: manhattan_spearman
value: 62.892199999999995
verified: false
- type: euclidean_pearson
value: 62.9809
verified: false
- type: euclidean_spearman
value: 63.631099999999996
verified: false
- type: main_score
value: 63.631099999999996
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (it-en)
type: mteb/sts17-crosslingual-sts
config: it-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 75.1556
verified: false
- type: spearman
value: 76.8807
verified: false
- type: cosine_pearson
value: 75.1556
verified: false
- type: cosine_spearman
value: 76.8807
verified: false
- type: manhattan_pearson
value: 76.2428
verified: false
- type: manhattan_spearman
value: 76.8101
verified: false
- type: euclidean_pearson
value: 76.107
verified: false
- type: euclidean_spearman
value: 76.8807
verified: false
- type: main_score
value: 76.8807
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (es-en)
type: mteb/sts17-crosslingual-sts
config: es-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 69.85719999999999
verified: false
- type: spearman
value: 71.0489
verified: false
- type: cosine_pearson
value: 69.85719999999999
verified: false
- type: cosine_spearman
value: 71.0489
verified: false
- type: manhattan_pearson
value: 71.08449999999999
verified: false
- type: manhattan_spearman
value: 71.0051
verified: false
- type: euclidean_pearson
value: 71.19760000000001
verified: false
- type: euclidean_spearman
value: 71.0489
verified: false
- type: main_score
value: 71.0489
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (nl-en)
type: mteb/sts17-crosslingual-sts
config: nl-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 76.1131
verified: false
- type: spearman
value: 78.2714
verified: false
- type: cosine_pearson
value: 76.1131
verified: false
- type: cosine_spearman
value: 78.2714
verified: false
- type: manhattan_pearson
value: 76.70270000000001
verified: false
- type: manhattan_spearman
value: 77.7803
verified: false
- type: euclidean_pearson
value: 77.14269999999999
verified: false
- type: euclidean_spearman
value: 78.2714
verified: false
- type: main_score
value: 78.2714
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (fr-en)
type: mteb/sts17-crosslingual-sts
config: fr-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 74.49719999999999
verified: false
- type: spearman
value: 76.2747
verified: false
- type: cosine_pearson
value: 74.49719999999999
verified: false
- type: cosine_spearman
value: 76.2747
verified: false
- type: manhattan_pearson
value: 75.071
verified: false
- type: manhattan_spearman
value: 75.8969
verified: false
- type: euclidean_pearson
value: 75.289
verified: false
- type: euclidean_spearman
value: 76.2747
verified: false
- type: main_score
value: 76.2747
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-de)
type: mteb/sts17-crosslingual-sts
config: en-de
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 76.7073
verified: false
- type: spearman
value: 79.3107
verified: false
- type: cosine_pearson
value: 76.7073
verified: false
- type: cosine_spearman
value: 79.3107
verified: false
- type: manhattan_pearson
value: 77.9578
verified: false
- type: manhattan_spearman
value: 79.3195
verified: false
- type: euclidean_pearson
value: 77.7386
verified: false
- type: euclidean_spearman
value: 79.3107
verified: false
- type: main_score
value: 79.3107
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-ar)
type: mteb/sts17-crosslingual-sts
config: en-ar
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 60.5826
verified: false
- type: spearman
value: 61.0502
verified: false
- type: cosine_pearson
value: 60.5826
verified: false
- type: cosine_spearman
value: 61.0502
verified: false
- type: manhattan_pearson
value: 61.202
verified: false
- type: manhattan_spearman
value: 61.2039
verified: false
- type: euclidean_pearson
value: 61.1915
verified: false
- type: euclidean_spearman
value: 61.0502
verified: false
- type: main_score
value: 61.0502
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 69.2521
verified: false
- type: spearman
value: 68.06219999999999
verified: false
- type: cosine_pearson
value: 69.2521
verified: false
- type: cosine_spearman
value: 68.06219999999999
verified: false
- type: manhattan_pearson
value: 70.5115
verified: false
- type: manhattan_spearman
value: 67.8705
verified: false
- type: euclidean_pearson
value: 70.68480000000001
verified: false
- type: euclidean_spearman
value: 68.06219999999999
verified: false
- type: main_score
value: 68.06219999999999
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (pl-en)
type: mteb/sts22-crosslingual-sts
config: pl-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 77.97500000000001
verified: false
- type: spearman
value: 76.848
verified: false
- type: cosine_pearson
value: 77.97500000000001
verified: false
- type: cosine_spearman
value: 76.848
verified: false
- type: manhattan_pearson
value: 76.4098
verified: false
- type: manhattan_spearman
value: 76.6188
verified: false
- type: euclidean_pearson
value: 77.17500000000001
verified: false
- type: euclidean_spearman
value: 76.848
verified: false
- type: main_score
value: 76.848
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (zh-en)
type: mteb/sts22-crosslingual-sts
config: zh-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 71.3604
verified: false
- type: spearman
value: 70.7891
verified: false
- type: cosine_pearson
value: 71.3604
verified: false
- type: cosine_spearman
value: 70.7891
verified: false
- type: manhattan_pearson
value: 73.0185
verified: false
- type: manhattan_spearman
value: 70.79299999999999
verified: false
- type: euclidean_pearson
value: 73.17620000000001
verified: false
- type: euclidean_spearman
value: 70.7891
verified: false
- type: main_score
value: 70.7891
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (es-en)
type: mteb/sts22-crosslingual-sts
config: es-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 77.58239999999999
verified: false
- type: spearman
value: 78.5907
verified: false
- type: cosine_pearson
value: 77.58239999999999
verified: false
- type: cosine_spearman
value: 78.5907
verified: false
- type: manhattan_pearson
value: 79.25720000000001
verified: false
- type: manhattan_spearman
value: 78.6249
verified: false
- type: euclidean_pearson
value: 79.3724
verified: false
- type: euclidean_spearman
value: 78.5907
verified: false
- type: main_score
value: 78.5907
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (de-en)
type: mteb/sts22-crosslingual-sts
config: de-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 63.324000000000005
verified: false
- type: spearman
value: 55.1099
verified: false
- type: cosine_pearson
value: 63.324000000000005
verified: false
- type: cosine_spearman
value: 55.1099
verified: false
- type: manhattan_pearson
value: 67.3128
verified: false
- type: manhattan_spearman
value: 56.340199999999996
verified: false
- type: euclidean_pearson
value: 67.12089999999999
verified: false
- type: euclidean_spearman
value: 55.1099
verified: false
- type: main_score
value: 55.1099
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark (default)
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: pearson
value: 78.02329999999999
verified: false
- type: spearman
value: 79.1887
verified: false
- type: cosine_pearson
value: 78.02329999999999
verified: false
- type: cosine_spearman
value: 79.1887
verified: false
- type: manhattan_pearson
value: 78.8951
verified: false
- type: manhattan_spearman
value: 78.9444
verified: false
- type: euclidean_pearson
value: 79.1499
verified: false
- type: euclidean_spearman
value: 79.1888
verified: false
- type: main_score
value: 79.1887
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR (default)
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 78.7501
verified: false
- type: mrr
value: 93.9748
verified: false
- type: nAUC_map_max
value: 54.495599999999996
verified: false
- type: nAUC_map_std
value: 70.0377
verified: false
- type: nAUC_map_diff1
value: 6.0146999999999995
verified: false
- type: nAUC_mrr_max
value: 81.1486
verified: false
- type: nAUC_mrr_std
value: 78.3478
verified: false
- type: nAUC_mrr_diff1
value: 50.7613
verified: false
- type: main_score
value: 78.7501
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact (default)
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: ndcg_at_1
value: 58.667
verified: false
- type: ndcg_at_3
value: 66.022
verified: false
- type: ndcg_at_5
value: 68.508
verified: false
- type: ndcg_at_10
value: 70.586
verified: false
- type: ndcg_at_20
value: 71.714
verified: false
- type: ndcg_at_100
value: 72.81
verified: false
- type: ndcg_at_1000
value: 73.482
verified: false
- type: map_at_1
value: 55.594
verified: false
- type: map_at_3
value: 63.2
verified: false
- type: map_at_5
value: 64.996
verified: false
- type: map_at_10
value: 65.988
verified: false
- type: map_at_20
value: 66.347
verified: false
- type: map_at_100
value: 66.526
verified: false
- type: map_at_1000
value: 66.547
verified: false
- type: recall_at_1
value: 55.594
verified: false
- type: recall_at_3
value: 71.22800000000001
verified: false
- type: recall_at_5
value: 77.078
verified: false
- type: recall_at_10
value: 83.172
verified: false
- type: recall_at_20
value: 87.422
verified: false
- type: recall_at_100
value: 93.167
verified: false
- type: recall_at_1000
value: 98.667
verified: false
- type: precision_at_1
value: 58.667
verified: false
- type: precision_at_3
value: 25.778000000000002
verified: false
- type: precision_at_5
value: 17.333000000000002
verified: false
- type: precision_at_10
value: 9.433
verified: false
- type: precision_at_20
value: 4.967
verified: false
- type: precision_at_100
value: 1.06
verified: false
- type: precision_at_1000
value: 0.11199999999999999
verified: false
- type: mrr_at_1
value: 58.666700000000006
verified: false
- type: mrr_at_3
value: 65.3889
verified: false
- type: mrr_at_5
value: 66.62219999999999
verified: false
- type: mrr_at_10
value: 67.3364
verified: false
- type: mrr_at_20
value: 67.6046
verified: false
- type: mrr_at_100
value: 67.73320000000001
verified: false
- type: mrr_at_1000
value: 67.7526
verified: false
- type: nauc_ndcg_at_1_max
value: 60.2511
verified: false
- type: nauc_ndcg_at_1_std
value: 12.422
verified: false
- type: nauc_ndcg_at_1_diff1
value: 74.4289
verified: false
- type: nauc_ndcg_at_3_max
value: 60.2109
verified: false
- type: nauc_ndcg_at_3_std
value: 11.0152
verified: false
- type: nauc_ndcg_at_3_diff1
value: 71.0436
verified: false
- type: nauc_ndcg_at_5_max
value: 62.690999999999995
verified: false
- type: nauc_ndcg_at_5_std
value: 13.585700000000001
verified: false
- type: nauc_ndcg_at_5_diff1
value: 70.4007
verified: false
- type: nauc_ndcg_at_10_max
value: 62.740899999999996
verified: false
- type: nauc_ndcg_at_10_std
value: 13.980400000000001
verified: false
- type: nauc_ndcg_at_10_diff1
value: 70.0506
verified: false
- type: nauc_ndcg_at_20_max
value: 62.271699999999996
verified: false
- type: nauc_ndcg_at_20_std
value: 15.9756
verified: false
- type: nauc_ndcg_at_20_diff1
value: 70.3237
verified: false
- type: nauc_ndcg_at_100_max
value: 62.125
verified: false
- type: nauc_ndcg_at_100_std
value: 15.5809
verified: false
- type: nauc_ndcg_at_100_diff1
value: 70.4151
verified: false
- type: nauc_ndcg_at_1000_max
value: 61.9259
verified: false
- type: nauc_ndcg_at_1000_std
value: 15.3462
verified: false
- type: nauc_ndcg_at_1000_diff1
value: 70.7346
verified: false
- type: nauc_map_at_1_max
value: 53.6767
verified: false
- type: nauc_map_at_1_std
value: 3.7751
verified: false
- type: nauc_map_at_1_diff1
value: 74.60329999999999
verified: false
- type: nauc_map_at_3_max
value: 57.0403
verified: false
- type: nauc_map_at_3_std
value: 8.2272
verified: false
- type: nauc_map_at_3_diff1
value: 71.7906
verified: false
- type: nauc_map_at_5_max
value: 59.6713
verified: false
- type: nauc_map_at_5_std
value: 10.8346
verified: false
- type: nauc_map_at_5_diff1
value: 71.3356
verified: false
- type: nauc_map_at_10_max
value: 60.0086
verified: false
- type: nauc_map_at_10_std
value: 11.4394
verified: false
- type: nauc_map_at_10_diff1
value: 71.14869999999999
verified: false
- type: nauc_map_at_20_max
value: 59.940599999999996
verified: false
- type: nauc_map_at_20_std
value: 12.0728
verified: false
- type: nauc_map_at_20_diff1
value: 71.31
verified: false
- type: nauc_map_at_100_max
value: 59.95589999999999
verified: false
- type: nauc_map_at_100_std
value: 12.148299999999999
verified: false
- type: nauc_map_at_100_diff1
value: 71.2142
verified: false
- type: nauc_map_at_1000_max
value: 59.9486
verified: false
- type: nauc_map_at_1000_std
value: 12.139
verified: false
- type: nauc_map_at_1000_diff1
value: 71.2225
verified: false
- type: nauc_recall_at_1_max
value: 53.6767
verified: false
- type: nauc_recall_at_1_std
value: 3.7751
verified: false
- type: nauc_recall_at_1_diff1
value: 74.60329999999999
verified: false
- type: nauc_recall_at_3_max
value: 60.4078
verified: false
- type: nauc_recall_at_3_std
value: 9.038300000000001
verified: false
- type: nauc_recall_at_3_diff1
value: 67.60119999999999
verified: false
- type: nauc_recall_at_5_max
value: 68.0179
verified: false
- type: nauc_recall_at_5_std
value: 16.061600000000002
verified: false
- type: nauc_recall_at_5_diff1
value: 65.54759999999999
verified: false
- type: nauc_recall_at_10_max
value: 68.7372
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- type: nauc_recall_at_10_std
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- type: nauc_recall_at_10_diff1
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- type: nauc_recall_at_20_max
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- type: nauc_recall_at_20_diff1
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- type: nauc_recall_at_100_std
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- type: nauc_recall_at_100_diff1
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- type: nauc_recall_at_1000_max
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- type: nauc_recall_at_1000_std
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- type: nauc_recall_at_1000_diff1
value: 85.58590000000001
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- type: nauc_precision_at_1_max
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- type: nauc_precision_at_1_std
value: 12.422
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- type: nauc_precision_at_1_diff1
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- type: nauc_precision_at_3_max
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- type: nauc_precision_at_3_std
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- type: nauc_precision_at_3_diff1
value: 49.1523
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- type: nauc_precision_at_5_max
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- type: nauc_precision_at_5_std
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- type: nauc_precision_at_5_diff1
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- type: nauc_precision_at_10_max
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- type: nauc_precision_at_10_std
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- type: nauc_precision_at_10_diff1
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- type: nauc_precision_at_20_max
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- type: nauc_precision_at_20_std
value: 50.7143
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- type: nauc_precision_at_20_diff1
value: 8.3552
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- type: nauc_precision_at_100_max
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- type: nauc_precision_at_100_std
value: 52.8775
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- type: nauc_precision_at_100_diff1
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- type: nauc_precision_at_1000_max
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- type: nauc_precision_at_1000_std
value: 57.784800000000004
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- type: nauc_precision_at_1000_diff1
value: -20.1246
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- type: nauc_mrr_at_1_max
value: 60.2511
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- type: nauc_mrr_at_1_std
value: 12.422
verified: false
- type: nauc_mrr_at_1_diff1
value: 74.4289
verified: false
- type: nauc_mrr_at_3_max
value: 62.663199999999996
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- type: nauc_mrr_at_3_std
value: 14.7348
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- type: nauc_mrr_at_3_diff1
value: 72.1185
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- type: nauc_mrr_at_5_max
value: 63.3871
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- type: nauc_mrr_at_5_std
value: 15.773000000000001
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- type: nauc_mrr_at_5_diff1
value: 71.6722
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- type: nauc_mrr_at_10_max
value: 62.8474
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- type: nauc_mrr_at_10_std
value: 15.1896
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- type: nauc_mrr_at_10_diff1
value: 71.64110000000001
verified: false
- type: nauc_mrr_at_20_max
value: 62.699400000000004
verified: false
- type: nauc_mrr_at_20_std
value: 15.554499999999999
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- type: nauc_mrr_at_20_diff1
value: 71.6049
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- type: nauc_mrr_at_100_max
value: 62.6665
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- type: nauc_mrr_at_100_std
value: 15.4586
verified: false
- type: nauc_mrr_at_100_diff1
value: 71.6217
verified: false
- type: nauc_mrr_at_1000_max
value: 62.6641
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- type: nauc_mrr_at_1000_std
value: 15.4535
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- type: nauc_mrr_at_1000_diff1
value: 71.6307
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- type: main_score
value: 70.586
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- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions (default)
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
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value: 99.8416
verified: false
- type: similarity_accuracy_threshold
value: 74.52069999999999
verified: false
- type: similarity_f1
value: 92.008
verified: false
- type: similarity_f1_threshold
value: 74.4529
verified: false
- type: similarity_precision
value: 91.9162
verified: false
- type: similarity_recall
value: 92.10000000000001
verified: false
- type: similarity_ap
value: 96.54209999999999
verified: false
- type: cosine_accuracy
value: 99.8416
verified: false
- type: cosine_accuracy_threshold
value: 74.52069999999999
verified: false
- type: cosine_f1
value: 92.008
verified: false
- type: cosine_f1_threshold
value: 74.4529
verified: false
- type: cosine_precision
value: 91.9162
verified: false
- type: cosine_recall
value: 92.10000000000001
verified: false
- type: cosine_ap
value: 96.54209999999999
verified: false
- type: manhattan_accuracy
value: 99.8446
verified: false
- type: manhattan_accuracy_threshold
value: 1784.866
verified: false
- type: manhattan_f1
value: 92.1539
verified: false
- type: manhattan_f1_threshold
value: 1787.6774
verified: false
- type: manhattan_precision
value: 92.1079
verified: false
- type: manhattan_recall
value: 92.2
verified: false
- type: manhattan_ap
value: 96.5207
verified: false
- type: euclidean_accuracy
value: 99.8416
verified: false
- type: euclidean_accuracy_threshold
value: 71.3853
verified: false
- type: euclidean_f1
value: 92.008
verified: false
- type: euclidean_f1_threshold
value: 71.4803
verified: false
- type: euclidean_precision
value: 91.9162
verified: false
- type: euclidean_recall
value: 92.10000000000001
verified: false
- type: euclidean_ap
value: 96.54209999999999
verified: false
- type: dot_accuracy
value: 99.8416
verified: false
- type: dot_accuracy_threshold
value: 74.52069999999999
verified: false
- type: dot_f1
value: 92.008
verified: false
- type: dot_f1_threshold
value: 74.4528
verified: false
- type: dot_precision
value: 91.9162
verified: false
- type: dot_recall
value: 92.10000000000001
verified: false
- type: dot_ap
value: 96.54209999999999
verified: false
- type: max_accuracy
value: 99.8446
verified: false
- type: max_f1
value: 92.1539
verified: false
- type: max_precision
value: 92.1079
verified: false
- type: max_recall
value: 92.2
verified: false
- type: max_ap
value: 96.54209999999999
verified: false
- type: main_score
value: 96.54209999999999
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering (default)
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
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value: 63.4035
verified: false
- type: v_measure_std
value: 4.758
verified: false
- type: main_score
value: 63.4035
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P (default)
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
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value: 36.288599999999995
verified: false
- type: v_measure_std
value: 1.3107
verified: false
- type: main_score
value: 36.288599999999995
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions (default)
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
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verified: false
- type: mrr
value: 52.374500000000005
verified: false
- type: nAUC_map_max
value: 12.912399999999998
verified: false
- type: nAUC_map_std
value: 6.4524
verified: false
- type: nAUC_map_diff1
value: 37.2785
verified: false
- type: nAUC_mrr_max
value: 13.333999999999998
verified: false
- type: nAUC_mrr_std
value: 7.0440000000000005
verified: false
- type: nAUC_mrr_diff1
value: 37.2993
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- type: main_score
value: 51.457699999999996
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval (default)
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
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value: 29.7101
verified: false
- type: spearman
value: 30.514200000000002
verified: false
- type: cosine_spearman
value: 30.514200000000002
verified: false
- type: cosine_pearson
value: 29.7101
verified: false
- type: dot_spearman
value: 30.514200000000002
verified: false
- type: dot_pearson
value: 29.7101
verified: false
- type: main_score
value: 30.514200000000002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID (default)
type: mteb/trec-covid
config: default
split: test
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
metrics:
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value: 86
verified: false
- type: ndcg_at_3
value: 86.542
verified: false
- type: ndcg_at_5
value: 85.297
verified: false
- type: ndcg_at_10
value: 83.866
verified: false
- type: ndcg_at_20
value: 80.553
verified: false
- type: ndcg_at_100
value: 65.091
verified: false
- type: ndcg_at_1000
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verified: false
- type: map_at_1
value: 0.23500000000000001
verified: false
- type: map_at_3
value: 0.7100000000000001
verified: false
- type: map_at_5
value: 1.1440000000000001
verified: false
- type: map_at_10
value: 2.185
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- type: map_at_20
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- type: map_at_100
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- type: map_at_1000
value: 32.668
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- type: recall_at_1
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verified: false
- type: recall_at_3
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- type: recall_at_5
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- type: recall_at_10
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- type: recall_at_20
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- type: recall_at_100
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- type: recall_at_1000
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- type: precision_at_1
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- type: precision_at_3
value: 92
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- type: precision_at_5
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verified: false
- type: precision_at_10
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verified: false
- type: precision_at_20
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- type: precision_at_100
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- type: precision_at_1000
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- type: mrr_at_1
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- type: mrr_at_3
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- type: mrr_at_5
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verified: false
- type: mrr_at_10
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verified: false
- type: mrr_at_20
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- type: mrr_at_100
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verified: false
- type: mrr_at_1000
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- type: nauc_ndcg_at_1_max
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- type: nauc_ndcg_at_1_std
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- type: nauc_ndcg_at_1_diff1
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- type: nauc_ndcg_at_3_diff1
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- type: nauc_ndcg_at_5_max
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- type: nauc_ndcg_at_5_std
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- type: nauc_ndcg_at_5_diff1
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- type: nauc_ndcg_at_10_max
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- type: nauc_map_at_3_max
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- type: nauc_map_at_3_std
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- type: nauc_map_at_3_diff1
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- type: nauc_map_at_5_max
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- type: nauc_map_at_5_std
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- type: nauc_map_at_5_diff1
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- type: nauc_map_at_10_max
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- type: nauc_map_at_10_diff1
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- type: nauc_map_at_20_max
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- type: nauc_map_at_1000_std
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- type: nauc_map_at_1000_diff1
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- type: nauc_recall_at_1_max
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verified: false
- type: nauc_recall_at_1_std
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verified: false
- type: nauc_recall_at_1_diff1
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verified: false
- type: nauc_recall_at_3_max
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- type: nauc_recall_at_3_std
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- type: nauc_recall_at_3_diff1
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- type: nauc_recall_at_5_max
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- type: nauc_recall_at_5_std
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- type: nauc_recall_at_5_diff1
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- type: nauc_recall_at_10_max
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- type: nauc_recall_at_10_std
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- type: nauc_recall_at_10_diff1
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- type: nauc_recall_at_20_max
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- type: nauc_recall_at_100_max
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- type: nauc_recall_at_1000_std
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- type: nauc_recall_at_1000_diff1
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- type: nauc_precision_at_1_max
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- type: nauc_precision_at_1_std
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- type: nauc_precision_at_1_diff1
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- type: nauc_precision_at_3_max
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- type: nauc_precision_at_3_diff1
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- type: nauc_precision_at_5_max
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- type: nauc_precision_at_10_max
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- type: nauc_precision_at_10_std
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- type: nauc_precision_at_20_max
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value: 80.86410000000001
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- type: nauc_precision_at_20_diff1
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- type: nauc_precision_at_100_max
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- type: nauc_precision_at_1000_max
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value: 53.53059999999999
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value: -41.2652
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- type: nauc_mrr_at_1_max
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verified: false
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value: 24.1923
verified: false
- type: nauc_mrr_at_1_diff1
value: -25.368800000000004
verified: false
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- type: nauc_mrr_at_3_std
value: 28.113300000000002
verified: false
- type: nauc_mrr_at_3_diff1
value: -20.3198
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- type: nauc_mrr_at_5_max
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- type: nauc_mrr_at_5_std
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verified: false
- type: nauc_mrr_at_5_diff1
value: -20.3198
verified: false
- type: nauc_mrr_at_10_max
value: 16.8738
verified: false
- type: nauc_mrr_at_10_std
value: 28.113300000000002
verified: false
- type: nauc_mrr_at_10_diff1
value: -20.3198
verified: false
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value: 16.8738
verified: false
- type: nauc_mrr_at_20_std
value: 28.113300000000002
verified: false
- type: nauc_mrr_at_20_diff1
value: -20.3198
verified: false
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value: 16.8738
verified: false
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value: 28.113300000000002
verified: false
- type: nauc_mrr_at_100_diff1
value: -20.3198
verified: false
- type: nauc_mrr_at_1000_max
value: 16.8738
verified: false
- type: nauc_mrr_at_1000_std
value: 28.113300000000002
verified: false
- type: nauc_mrr_at_1000_diff1
value: -20.3198
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- type: main_score
value: 83.866
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020 (default)
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
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value: 38.775999999999996
verified: false
- type: ndcg_at_3
value: 33.664
verified: false
- type: ndcg_at_5
value: 31.61
verified: false
- type: ndcg_at_10
value: 29.499
verified: false
- type: ndcg_at_20
value: 29.772
verified: false
- type: ndcg_at_100
value: 39.845000000000006
verified: false
- type: ndcg_at_1000
value: 51.141999999999996
verified: false
- type: map_at_1
value: 3.004
verified: false
- type: map_at_3
value: 6.027
verified: false
- type: map_at_5
value: 7.993
verified: false
- type: map_at_10
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- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification (default)
type: mteb/toxic_conversations_50k
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
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type: Classification
dataset:
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type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
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- task:
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dataset:
name: MTEB TwentyNewsgroupsClustering (default)
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
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type: PairClassification
dataset:
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type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
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value: 67.00930000000001
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- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus (default)
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
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value: 75.5609
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value: 88.8811
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value: 77.9005
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value: 67.5068
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value: 75.5609
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value: 80.3896
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value: 85.459
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- type: max_accuracy
value: 88.8811
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verified: false
- type: max_recall
value: 80.3896
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- type: max_ap
value: 85.459
verified: false
- type: main_score
value: 85.459
verified: false | null | null | null | null | [
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"README.MD",
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"config.json",
"config_sentence_transformers.json",
"model.safetensors",
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"onnx/model.onnx",
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] | null | null | null | 2024-12-14T00:18:38+00:00 | language:
- af
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- cs
- cy
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- en
- es
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license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
- arctic
- snowflake-arctic-embed
- transformers.js
model-index:
- name: snowflake-arctic-embed-l-v2.0
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en-ext)
type: mteb/amazon_counterfactual
config: en-ext
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 67.039
verified: false
- type: f1
value: 55.1806
verified: false
- type: f1_weighted
value: 73.41149999999999
verified: false
- type: ap
value: 17.9914
verified: false
- type: ap_weighted
value: 17.9914
verified: false
- type: main_score
value: 67.039
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 65.59700000000001
verified: false
- type: f1
value: 60.244299999999996
verified: false
- type: f1_weighted
value: 68.9975
verified: false
- type: ap
value: 29.762100000000004
verified: false
- type: ap_weighted
value: 29.762100000000004
verified: false
- type: main_score
value: 65.59700000000001
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification (default)
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 74.2565
verified: false
- type: f1
value: 74.0291
verified: false
- type: f1_weighted
value: 74.0291
verified: false
- type: ap
value: 68.7595
verified: false
- type: ap_weighted
value: 68.7595
verified: false
- type: main_score
value: 74.2565
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 34.946
verified: false
- type: f1
value: 34.2853
verified: false
- type: f1_weighted
value: 34.2853
verified: false
- type: main_score
value: 34.946
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna (default)
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: ndcg_at_1
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- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
metrics:
- type: accuracy
value: 76.21719999999999
verified: false
- type: f1
value: 75.14189999999999
verified: false
- type: f1_weighted
value: 76.0733
verified: false
- type: main_score
value: 76.21719999999999
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P (default)
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 31.3917
verified: false
- type: v_measure_std
value: 1.4778
verified: false
- type: main_score
value: 31.3917
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S (default)
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 28.2408
verified: false
- type: v_measure_std
value: 1.1622999999999999
verified: false
- type: main_score
value: 28.2408
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking (default)
type: mteb/mind_small
config: default
split: test
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
metrics:
- type: map
value: 29.5796
verified: false
- type: mrr
value: 30.3081
verified: false
- type: nAUC_map_max
value: -24.9194
verified: false
- type: nAUC_map_std
value: -9.042
verified: false
- type: nAUC_map_diff1
value: 12.1611
verified: false
- type: nAUC_mrr_max
value: -19.3867
verified: false
- type: nAUC_mrr_std
value: -6.3873
verified: false
- type: nAUC_mrr_diff1
value: 11.8078
verified: false
- type: main_score
value: 29.5796
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus (default)
type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
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value: 45.046
verified: false
- type: ndcg_at_3
value: 41.704
verified: false
- type: ndcg_at_5
value: 39.296
verified: false
- type: ndcg_at_10
value: 35.343999999999994
verified: false
- type: ndcg_at_20
value: 32.525999999999996
verified: false
- type: ndcg_at_100
value: 31.352999999999998
verified: false
- type: ndcg_at_1000
value: 39.772
verified: false
- type: map_at_1
value: 5.833
verified: false
- type: map_at_3
value: 9.953
verified: false
- type: map_at_5
value: 11.549
verified: false
- type: map_at_10
value: 13.38
verified: false
- type: map_at_20
value: 14.706
verified: false
- type: map_at_100
value: 16.422
verified: false
- type: map_at_1000
value: 17.777
verified: false
- type: recall_at_1
value: 5.833
verified: false
- type: recall_at_3
value: 11.112
verified: false
- type: recall_at_5
value: 13.834
verified: false
- type: recall_at_10
value: 16.961000000000002
verified: false
- type: recall_at_20
value: 20.294999999999998
verified: false
- type: recall_at_100
value: 30.253000000000004
verified: false
- type: recall_at_1000
value: 60.902
verified: false
- type: precision_at_1
value: 46.44
verified: false
- type: precision_at_3
value: 39.009
verified: false
- type: precision_at_5
value: 33.745999999999995
verified: false
- type: precision_at_10
value: 25.635
verified: false
- type: precision_at_20
value: 18.576
verified: false
- type: precision_at_100
value: 7.731000000000001
verified: false
- type: precision_at_1000
value: 2.037
verified: false
- type: mrr_at_1
value: 46.7492
verified: false
- type: mrr_at_3
value: 54.6956
verified: false
- type: mrr_at_5
value: 55.8875
verified: false
- type: mrr_at_10
value: 56.3913
verified: false
- type: mrr_at_20
value: 56.6265
verified: false
- type: mrr_at_100
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verified: false
- type: mrr_at_1000
value: 56.8573
verified: false
- type: nauc_ndcg_at_1_max
value: 43.3685
verified: false
- type: nauc_ndcg_at_1_std
value: 21.6124
verified: false
- type: nauc_ndcg_at_1_diff1
value: 29.0317
verified: false
- type: nauc_ndcg_at_3_max
value: 39.8155
verified: false
- type: nauc_ndcg_at_3_std
value: 23.2206
verified: false
- type: nauc_ndcg_at_3_diff1
value: 20.7425
verified: false
- type: nauc_ndcg_at_5_max
value: 40.951
verified: false
- type: nauc_ndcg_at_5_std
value: 24.7184
verified: false
- type: nauc_ndcg_at_5_diff1
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verified: false
- type: nauc_ndcg_at_10_max
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verified: false
- type: nauc_ndcg_at_10_std
value: 27.4588
verified: false
- type: nauc_ndcg_at_10_diff1
value: 17.224800000000002
verified: false
- type: nauc_ndcg_at_20_max
value: 40.3519
verified: false
- type: nauc_ndcg_at_20_std
value: 27.2947
verified: false
- type: nauc_ndcg_at_20_diff1
value: 16.502
verified: false
- type: nauc_ndcg_at_100_max
value: 44.0676
verified: false
- type: nauc_ndcg_at_100_std
value: 29.1921
verified: false
- type: nauc_ndcg_at_100_diff1
value: 20.9199
verified: false
- type: nauc_ndcg_at_1000_max
value: 48.9082
verified: false
- type: nauc_ndcg_at_1000_std
value: 33.799600000000005
verified: false
- type: nauc_ndcg_at_1000_diff1
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verified: false
- type: nauc_map_at_1_max
value: 19.2048
verified: false
- type: nauc_map_at_1_std
value: -13.564599999999999
verified: false
- type: nauc_map_at_1_diff1
value: 37.601099999999995
verified: false
- type: nauc_map_at_3_max
value: 23.1853
verified: false
- type: nauc_map_at_3_std
value: -8.3204
verified: false
- type: nauc_map_at_3_diff1
value: 32.5527
verified: false
- type: nauc_map_at_5_max
value: 26.747500000000002
verified: false
- type: nauc_map_at_5_std
value: -4.136
verified: false
- type: nauc_map_at_5_diff1
value: 29.041800000000002
verified: false
- type: nauc_map_at_10_max
value: 30.492200000000004
verified: false
- type: nauc_map_at_10_std
value: 2.2847
verified: false
- type: nauc_map_at_10_diff1
value: 25.949699999999996
verified: false
- type: nauc_map_at_20_max
value: 32.628800000000005
verified: false
- type: nauc_map_at_20_std
value: 6.2305
verified: false
- type: nauc_map_at_20_diff1
value: 24.0997
verified: false
- type: nauc_map_at_100_max
value: 35.0282
verified: false
- type: nauc_map_at_100_std
value: 12.181899999999999
verified: false
- type: nauc_map_at_100_diff1
value: 22.6844
verified: false
- type: nauc_map_at_1000_max
value: 35.274899999999995
verified: false
- type: nauc_map_at_1000_std
value: 14.9827
verified: false
- type: nauc_map_at_1000_diff1
value: 21.4096
verified: false
- type: nauc_recall_at_1_max
value: 19.2048
verified: false
- type: nauc_recall_at_1_std
value: -13.564599999999999
verified: false
- type: nauc_recall_at_1_diff1
value: 37.601099999999995
verified: false
- type: nauc_recall_at_3_max
value: 20.5895
verified: false
- type: nauc_recall_at_3_std
value: -7.8295
verified: false
- type: nauc_recall_at_3_diff1
value: 28.4675
verified: false
- type: nauc_recall_at_5_max
value: 24.8771
verified: false
- type: nauc_recall_at_5_std
value: -2.869
verified: false
- type: nauc_recall_at_5_diff1
value: 23.301
verified: false
- type: nauc_recall_at_10_max
value: 28.647299999999998
verified: false
- type: nauc_recall_at_10_std
value: 4.4991
verified: false
- type: nauc_recall_at_10_diff1
value: 20.5606
verified: false
- type: nauc_recall_at_20_max
value: 30.3525
verified: false
- type: nauc_recall_at_20_std
value: 8.712
verified: false
- type: nauc_recall_at_20_diff1
value: 17.4748
verified: false
- type: nauc_recall_at_100_max
value: 34.0702
verified: false
- type: nauc_recall_at_100_std
value: 23.3319
verified: false
- type: nauc_recall_at_100_diff1
value: 17.2015
verified: false
- type: nauc_recall_at_1000_max
value: 27.8011
verified: false
- type: nauc_recall_at_1000_std
value: 21.6507
verified: false
- type: nauc_recall_at_1000_diff1
value: 4.4638
verified: false
- type: nauc_precision_at_1_max
value: 44.6989
verified: false
- type: nauc_precision_at_1_std
value: 22.622
verified: false
- type: nauc_precision_at_1_diff1
value: 28.881400000000003
verified: false
- type: nauc_precision_at_3_max
value: 39.4166
verified: false
- type: nauc_precision_at_3_std
value: 29.2591
verified: false
- type: nauc_precision_at_3_diff1
value: 12.1577
verified: false
- type: nauc_precision_at_5_max
value: 39.6371
verified: false
- type: nauc_precision_at_5_std
value: 33.201
verified: false
- type: nauc_precision_at_5_diff1
value: 7.958
verified: false
- type: nauc_precision_at_10_max
value: 38.2593
verified: false
- type: nauc_precision_at_10_std
value: 40.6097
verified: false
- type: nauc_precision_at_10_diff1
value: 1.376
verified: false
- type: nauc_precision_at_20_max
value: 31.375999999999998
verified: false
- type: nauc_precision_at_20_std
value: 42.3468
verified: false
- type: nauc_precision_at_20_diff1
value: -4.1699
verified: false
- type: nauc_precision_at_100_max
value: 16.628
verified: false
- type: nauc_precision_at_100_std
value: 41.800599999999996
verified: false
- type: nauc_precision_at_100_diff1
value: -9.4674
verified: false
- type: nauc_precision_at_1000_max
value: 1.6051
verified: false
- type: nauc_precision_at_1000_std
value: 29.1306
verified: false
- type: nauc_precision_at_1000_diff1
value: -11.1912
verified: false
- type: nauc_mrr_at_1_max
value: 44.4339
verified: false
- type: nauc_mrr_at_1_std
value: 23.6489
verified: false
- type: nauc_mrr_at_1_diff1
value: 28.0393
verified: false
- type: nauc_mrr_at_3_max
value: 47.780899999999995
verified: false
- type: nauc_mrr_at_3_std
value: 31.412499999999998
verified: false
- type: nauc_mrr_at_3_diff1
value: 24.1569
verified: false
- type: nauc_mrr_at_5_max
value: 48.732
verified: false
- type: nauc_mrr_at_5_std
value: 31.899100000000004
verified: false
- type: nauc_mrr_at_5_diff1
value: 24.4177
verified: false
- type: nauc_mrr_at_10_max
value: 48.9748
verified: false
- type: nauc_mrr_at_10_std
value: 32.2053
verified: false
- type: nauc_mrr_at_10_diff1
value: 24.0317
verified: false
- type: nauc_mrr_at_20_max
value: 49.0832
verified: false
- type: nauc_mrr_at_20_std
value: 32.0994
verified: false
- type: nauc_mrr_at_20_diff1
value: 23.9777
verified: false
- type: nauc_mrr_at_100_max
value: 49.1731
verified: false
- type: nauc_mrr_at_100_std
value: 32.3179
verified: false
- type: nauc_mrr_at_100_diff1
value: 24.081
verified: false
- type: nauc_mrr_at_1000_max
value: 49.1387
verified: false
- type: nauc_mrr_at_1000_std
value: 32.2738
verified: false
- type: nauc_mrr_at_1000_diff1
value: 24.063200000000002
verified: false
- type: main_score
value: 35.343999999999994
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ (default)
type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
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value: 44.93
verified: false
- type: ndcg_at_3
value: 56.003
verified: false
- type: ndcg_at_5
value: 60.150000000000006
verified: false
- type: ndcg_at_10
value: 63.673
verified: false
- type: ndcg_at_20
value: 65.211
verified: false
- type: ndcg_at_100
value: 66.686
verified: false
- type: ndcg_at_1000
value: 67.009
verified: false
- type: map_at_1
value: 40.035
verified: false
- type: map_at_3
value: 51.976
verified: false
- type: map_at_5
value: 54.510999999999996
verified: false
- type: map_at_10
value: 56.17100000000001
verified: false
- type: map_at_20
value: 56.684
verified: false
- type: map_at_100
value: 56.932
verified: false
- type: map_at_1000
value: 56.946
verified: false
- type: recall_at_1
value: 40.035
verified: false
- type: recall_at_3
value: 64.224
verified: false
- type: recall_at_5
value: 73.682
verified: false
- type: recall_at_10
value: 83.809
verified: false
- type: recall_at_20
value: 89.385
verified: false
- type: recall_at_100
value: 96.705
verified: false
- type: recall_at_1000
value: 99.054
verified: false
- type: precision_at_1
value: 44.93
verified: false
- type: precision_at_3
value: 25.019000000000002
verified: false
- type: precision_at_5
value: 17.445
verified: false
- type: precision_at_10
value: 10.043000000000001
verified: false
- type: precision_at_20
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verified: false
- type: precision_at_100
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verified: false
- type: precision_at_1000
value: 0.121
verified: false
- type: mrr_at_1
value: 44.9305
verified: false
- type: mrr_at_3
value: 55.37370000000001
verified: false
- type: mrr_at_5
value: 57.4464
verified: false
- type: mrr_at_10
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verified: false
- type: mrr_at_20
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verified: false
- type: mrr_at_100
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verified: false
- type: mrr_at_1000
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verified: false
- type: nauc_ndcg_at_1_max
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verified: false
- type: nauc_ndcg_at_1_std
value: -3.8885000000000005
verified: false
- type: nauc_ndcg_at_1_diff1
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verified: false
- type: nauc_ndcg_at_3_max
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verified: false
- type: nauc_ndcg_at_3_std
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verified: false
- type: nauc_ndcg_at_3_diff1
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verified: false
- type: nauc_ndcg_at_5_max
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verified: false
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verified: false
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verified: false
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- type: nauc_recall_at_100_max
value: 33.6062
verified: false
- type: nauc_recall_at_100_std
value: 33.8641
verified: false
- type: nauc_recall_at_100_diff1
value: 14.5145
verified: false
- type: nauc_recall_at_1000_max
value: 26.848300000000002
verified: false
- type: nauc_recall_at_1000_std
value: 38.5884
verified: false
- type: nauc_recall_at_1000_diff1
value: 5.6408
verified: false
- type: nauc_precision_at_1_max
value: 23.7575
verified: false
- type: nauc_precision_at_1_std
value: 4.1697
verified: false
- type: nauc_precision_at_1_diff1
value: 28.3995
verified: false
- type: nauc_precision_at_3_max
value: 28.2504
verified: false
- type: nauc_precision_at_3_std
value: 10.6227
verified: false
- type: nauc_precision_at_3_diff1
value: 19.5683
verified: false
- type: nauc_precision_at_5_max
value: 28.8134
verified: false
- type: nauc_precision_at_5_std
value: 12.518899999999999
verified: false
- type: nauc_precision_at_5_diff1
value: 17.8036
verified: false
- type: nauc_precision_at_10_max
value: 30.9813
verified: false
- type: nauc_precision_at_10_std
value: 19.3506
verified: false
- type: nauc_precision_at_10_diff1
value: 15.512
verified: false
- type: nauc_precision_at_20_max
value: 32.6743
verified: false
- type: nauc_precision_at_20_std
value: 24.9974
verified: false
- type: nauc_precision_at_20_diff1
value: 14.794099999999998
verified: false
- type: nauc_precision_at_100_max
value: 34.413700000000006
verified: false
- type: nauc_precision_at_100_std
value: 34.0889
verified: false
- type: nauc_precision_at_100_diff1
value: 15.252699999999999
verified: false
- type: nauc_precision_at_1000_max
value: 27.3954
verified: false
- type: nauc_precision_at_1000_std
value: 37.8895
verified: false
- type: nauc_precision_at_1000_diff1
value: 6.587999999999999
verified: false
- type: nauc_mrr_at_1_max
value: 23.7575
verified: false
- type: nauc_mrr_at_1_std
value: 4.1697
verified: false
- type: nauc_mrr_at_1_diff1
value: 28.3995
verified: false
- type: nauc_mrr_at_3_max
value: 26.8324
verified: false
- type: nauc_mrr_at_3_std
value: 8.646700000000001
verified: false
- type: nauc_mrr_at_3_diff1
value: 25.5754
verified: false
- type: nauc_mrr_at_5_max
value: 26.8274
verified: false
- type: nauc_mrr_at_5_std
value: 8.911
verified: false
- type: nauc_mrr_at_5_diff1
value: 25.106
verified: false
- type: nauc_mrr_at_10_max
value: 27.073399999999996
verified: false
- type: nauc_mrr_at_10_std
value: 9.7624
verified: false
- type: nauc_mrr_at_10_diff1
value: 24.9405
verified: false
- type: nauc_mrr_at_20_max
value: 27.1229
verified: false
- type: nauc_mrr_at_20_std
value: 10.0676
verified: false
- type: nauc_mrr_at_20_diff1
value: 24.8122
verified: false
- type: nauc_mrr_at_100_max
value: 27.1391
verified: false
- type: nauc_mrr_at_100_std
value: 9.9628
verified: false
- type: nauc_mrr_at_100_diff1
value: 24.9507
verified: false
- type: nauc_mrr_at_1000_max
value: 27.114
verified: false
- type: nauc_mrr_at_1000_std
value: 9.9537
verified: false
- type: nauc_mrr_at_1000_diff1
value: 24.9421
verified: false
- type: main_score
value: 20.238999999999997
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R (default)
type: mteb/sickr-sts
config: default
split: test
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
metrics:
- type: pearson
value: 79.5908
verified: false
- type: spearman
value: 73.9888
verified: false
- type: cosine_pearson
value: 79.5908
verified: false
- type: cosine_spearman
value: 73.9888
verified: false
- type: manhattan_pearson
value: 77.0623
verified: false
- type: manhattan_spearman
value: 73.7724
verified: false
- type: euclidean_pearson
value: 77.30890000000001
verified: false
- type: euclidean_spearman
value: 73.9888
verified: false
- type: main_score
value: 73.9888
verified: false
- task:
type: STS
dataset:
name: MTEB STS12 (default)
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: pearson
value: 74.0752
verified: false
- type: spearman
value: 71.22699999999999
verified: false
- type: cosine_pearson
value: 74.0752
verified: false
- type: cosine_spearman
value: 71.22699999999999
verified: false
- type: manhattan_pearson
value: 70.6037
verified: false
- type: manhattan_spearman
value: 70.9916
verified: false
- type: euclidean_pearson
value: 70.922
verified: false
- type: euclidean_spearman
value: 71.22699999999999
verified: false
- type: main_score
value: 71.22699999999999
verified: false
- task:
type: STS
dataset:
name: MTEB STS13 (default)
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: pearson
value: 77.8946
verified: false
- type: spearman
value: 80.4405
verified: false
- type: cosine_pearson
value: 77.8946
verified: false
- type: cosine_spearman
value: 80.4405
verified: false
- type: manhattan_pearson
value: 79.6856
verified: false
- type: manhattan_spearman
value: 80.1236
verified: false
- type: euclidean_pearson
value: 80.0315
verified: false
- type: euclidean_spearman
value: 80.44059999999999
verified: false
- type: main_score
value: 80.4405
verified: false
- task:
type: STS
dataset:
name: MTEB STS14 (default)
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: pearson
value: 76.2196
verified: false
- type: spearman
value: 75.10419999999999
verified: false
- type: cosine_pearson
value: 76.2196
verified: false
- type: cosine_spearman
value: 75.10419999999999
verified: false
- type: manhattan_pearson
value: 75.4647
verified: false
- type: manhattan_spearman
value: 74.81179999999999
verified: false
- type: euclidean_pearson
value: 75.8091
verified: false
- type: euclidean_spearman
value: 75.10419999999999
verified: false
- type: main_score
value: 75.10419999999999
verified: false
- task:
type: STS
dataset:
name: MTEB STS15 (default)
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: pearson
value: 81.2455
verified: false
- type: spearman
value: 82.8681
verified: false
- type: cosine_pearson
value: 81.2455
verified: false
- type: cosine_spearman
value: 82.8681
verified: false
- type: manhattan_pearson
value: 82.4327
verified: false
- type: manhattan_spearman
value: 82.7513
verified: false
- type: euclidean_pearson
value: 82.5635
verified: false
- type: euclidean_spearman
value: 82.8681
verified: false
- type: main_score
value: 82.8681
verified: false
- task:
type: STS
dataset:
name: MTEB STS16 (default)
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: pearson
value: 81.6322
verified: false
- type: spearman
value: 83.487
verified: false
- type: cosine_pearson
value: 81.6322
verified: false
- type: cosine_spearman
value: 83.487
verified: false
- type: manhattan_pearson
value: 83.0048
verified: false
- type: manhattan_spearman
value: 83.4064
verified: false
- type: euclidean_pearson
value: 83.0938
verified: false
- type: euclidean_spearman
value: 83.487
verified: false
- type: main_score
value: 83.487
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 81.1124
verified: false
- type: spearman
value: 84.5436
verified: false
- type: cosine_pearson
value: 81.1124
verified: false
- type: cosine_spearman
value: 84.5436
verified: false
- type: manhattan_pearson
value: 83.5158
verified: false
- type: manhattan_spearman
value: 84.596
verified: false
- type: euclidean_pearson
value: 83.4429
verified: false
- type: euclidean_spearman
value: 84.5436
verified: false
- type: main_score
value: 84.5436
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-tr)
type: mteb/sts17-crosslingual-sts
config: en-tr
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 62.0001
verified: false
- type: spearman
value: 63.631099999999996
verified: false
- type: cosine_pearson
value: 62.0001
verified: false
- type: cosine_spearman
value: 63.631099999999996
verified: false
- type: manhattan_pearson
value: 62.239599999999996
verified: false
- type: manhattan_spearman
value: 62.892199999999995
verified: false
- type: euclidean_pearson
value: 62.9809
verified: false
- type: euclidean_spearman
value: 63.631099999999996
verified: false
- type: main_score
value: 63.631099999999996
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (it-en)
type: mteb/sts17-crosslingual-sts
config: it-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 75.1556
verified: false
- type: spearman
value: 76.8807
verified: false
- type: cosine_pearson
value: 75.1556
verified: false
- type: cosine_spearman
value: 76.8807
verified: false
- type: manhattan_pearson
value: 76.2428
verified: false
- type: manhattan_spearman
value: 76.8101
verified: false
- type: euclidean_pearson
value: 76.107
verified: false
- type: euclidean_spearman
value: 76.8807
verified: false
- type: main_score
value: 76.8807
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (es-en)
type: mteb/sts17-crosslingual-sts
config: es-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 69.85719999999999
verified: false
- type: spearman
value: 71.0489
verified: false
- type: cosine_pearson
value: 69.85719999999999
verified: false
- type: cosine_spearman
value: 71.0489
verified: false
- type: manhattan_pearson
value: 71.08449999999999
verified: false
- type: manhattan_spearman
value: 71.0051
verified: false
- type: euclidean_pearson
value: 71.19760000000001
verified: false
- type: euclidean_spearman
value: 71.0489
verified: false
- type: main_score
value: 71.0489
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (nl-en)
type: mteb/sts17-crosslingual-sts
config: nl-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 76.1131
verified: false
- type: spearman
value: 78.2714
verified: false
- type: cosine_pearson
value: 76.1131
verified: false
- type: cosine_spearman
value: 78.2714
verified: false
- type: manhattan_pearson
value: 76.70270000000001
verified: false
- type: manhattan_spearman
value: 77.7803
verified: false
- type: euclidean_pearson
value: 77.14269999999999
verified: false
- type: euclidean_spearman
value: 78.2714
verified: false
- type: main_score
value: 78.2714
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (fr-en)
type: mteb/sts17-crosslingual-sts
config: fr-en
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 74.49719999999999
verified: false
- type: spearman
value: 76.2747
verified: false
- type: cosine_pearson
value: 74.49719999999999
verified: false
- type: cosine_spearman
value: 76.2747
verified: false
- type: manhattan_pearson
value: 75.071
verified: false
- type: manhattan_spearman
value: 75.8969
verified: false
- type: euclidean_pearson
value: 75.289
verified: false
- type: euclidean_spearman
value: 76.2747
verified: false
- type: main_score
value: 76.2747
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-de)
type: mteb/sts17-crosslingual-sts
config: en-de
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 76.7073
verified: false
- type: spearman
value: 79.3107
verified: false
- type: cosine_pearson
value: 76.7073
verified: false
- type: cosine_spearman
value: 79.3107
verified: false
- type: manhattan_pearson
value: 77.9578
verified: false
- type: manhattan_spearman
value: 79.3195
verified: false
- type: euclidean_pearson
value: 77.7386
verified: false
- type: euclidean_spearman
value: 79.3107
verified: false
- type: main_score
value: 79.3107
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-ar)
type: mteb/sts17-crosslingual-sts
config: en-ar
split: test
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
metrics:
- type: pearson
value: 60.5826
verified: false
- type: spearman
value: 61.0502
verified: false
- type: cosine_pearson
value: 60.5826
verified: false
- type: cosine_spearman
value: 61.0502
verified: false
- type: manhattan_pearson
value: 61.202
verified: false
- type: manhattan_spearman
value: 61.2039
verified: false
- type: euclidean_pearson
value: 61.1915
verified: false
- type: euclidean_spearman
value: 61.0502
verified: false
- type: main_score
value: 61.0502
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 69.2521
verified: false
- type: spearman
value: 68.06219999999999
verified: false
- type: cosine_pearson
value: 69.2521
verified: false
- type: cosine_spearman
value: 68.06219999999999
verified: false
- type: manhattan_pearson
value: 70.5115
verified: false
- type: manhattan_spearman
value: 67.8705
verified: false
- type: euclidean_pearson
value: 70.68480000000001
verified: false
- type: euclidean_spearman
value: 68.06219999999999
verified: false
- type: main_score
value: 68.06219999999999
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (pl-en)
type: mteb/sts22-crosslingual-sts
config: pl-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 77.97500000000001
verified: false
- type: spearman
value: 76.848
verified: false
- type: cosine_pearson
value: 77.97500000000001
verified: false
- type: cosine_spearman
value: 76.848
verified: false
- type: manhattan_pearson
value: 76.4098
verified: false
- type: manhattan_spearman
value: 76.6188
verified: false
- type: euclidean_pearson
value: 77.17500000000001
verified: false
- type: euclidean_spearman
value: 76.848
verified: false
- type: main_score
value: 76.848
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (zh-en)
type: mteb/sts22-crosslingual-sts
config: zh-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 71.3604
verified: false
- type: spearman
value: 70.7891
verified: false
- type: cosine_pearson
value: 71.3604
verified: false
- type: cosine_spearman
value: 70.7891
verified: false
- type: manhattan_pearson
value: 73.0185
verified: false
- type: manhattan_spearman
value: 70.79299999999999
verified: false
- type: euclidean_pearson
value: 73.17620000000001
verified: false
- type: euclidean_spearman
value: 70.7891
verified: false
- type: main_score
value: 70.7891
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (es-en)
type: mteb/sts22-crosslingual-sts
config: es-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 77.58239999999999
verified: false
- type: spearman
value: 78.5907
verified: false
- type: cosine_pearson
value: 77.58239999999999
verified: false
- type: cosine_spearman
value: 78.5907
verified: false
- type: manhattan_pearson
value: 79.25720000000001
verified: false
- type: manhattan_spearman
value: 78.6249
verified: false
- type: euclidean_pearson
value: 79.3724
verified: false
- type: euclidean_spearman
value: 78.5907
verified: false
- type: main_score
value: 78.5907
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (de-en)
type: mteb/sts22-crosslingual-sts
config: de-en
split: test
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
metrics:
- type: pearson
value: 63.324000000000005
verified: false
- type: spearman
value: 55.1099
verified: false
- type: cosine_pearson
value: 63.324000000000005
verified: false
- type: cosine_spearman
value: 55.1099
verified: false
- type: manhattan_pearson
value: 67.3128
verified: false
- type: manhattan_spearman
value: 56.340199999999996
verified: false
- type: euclidean_pearson
value: 67.12089999999999
verified: false
- type: euclidean_spearman
value: 55.1099
verified: false
- type: main_score
value: 55.1099
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark (default)
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: pearson
value: 78.02329999999999
verified: false
- type: spearman
value: 79.1887
verified: false
- type: cosine_pearson
value: 78.02329999999999
verified: false
- type: cosine_spearman
value: 79.1887
verified: false
- type: manhattan_pearson
value: 78.8951
verified: false
- type: manhattan_spearman
value: 78.9444
verified: false
- type: euclidean_pearson
value: 79.1499
verified: false
- type: euclidean_spearman
value: 79.1888
verified: false
- type: main_score
value: 79.1887
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR (default)
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 78.7501
verified: false
- type: mrr
value: 93.9748
verified: false
- type: nAUC_map_max
value: 54.495599999999996
verified: false
- type: nAUC_map_std
value: 70.0377
verified: false
- type: nAUC_map_diff1
value: 6.0146999999999995
verified: false
- type: nAUC_mrr_max
value: 81.1486
verified: false
- type: nAUC_mrr_std
value: 78.3478
verified: false
- type: nAUC_mrr_diff1
value: 50.7613
verified: false
- type: main_score
value: 78.7501
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact (default)
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: ndcg_at_1
value: 58.667
verified: false
- type: ndcg_at_3
value: 66.022
verified: false
- type: ndcg_at_5
value: 68.508
verified: false
- type: ndcg_at_10
value: 70.586
verified: false
- type: ndcg_at_20
value: 71.714
verified: false
- type: ndcg_at_100
value: 72.81
verified: false
- type: ndcg_at_1000
value: 73.482
verified: false
- type: map_at_1
value: 55.594
verified: false
- type: map_at_3
value: 63.2
verified: false
- type: map_at_5
value: 64.996
verified: false
- type: map_at_10
value: 65.988
verified: false
- type: map_at_20
value: 66.347
verified: false
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dataset:
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type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
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- type: cosine_accuracy
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- type: cosine_accuracy_threshold
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- type: cosine_f1
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- type: cosine_f1_threshold
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- type: cosine_precision
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- type: cosine_recall
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- type: cosine_ap
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- type: manhattan_accuracy
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- type: manhattan_accuracy_threshold
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- type: manhattan_f1
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- type: manhattan_precision
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- type: manhattan_recall
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- type: manhattan_ap
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- type: euclidean_accuracy
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- type: euclidean_accuracy_threshold
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- type: euclidean_f1_threshold
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- type: euclidean_precision
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- type: euclidean_recall
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- type: euclidean_ap
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- type: dot_accuracy
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- type: dot_accuracy_threshold
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- type: dot_f1
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- type: dot_f1_threshold
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- type: dot_precision
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- type: dot_recall
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- type: max_accuracy
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- type: max_f1
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- type: max_precision
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- type: max_recall
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- type: max_ap
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- type: main_score
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- task:
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dataset:
name: MTEB StackExchangeClustering (default)
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
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verified: false
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- type: main_score
value: 63.4035
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- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P (default)
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
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verified: false
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value: 36.288599999999995
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- task:
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dataset:
name: MTEB StackOverflowDupQuestions (default)
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
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verified: false
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- type: nAUC_mrr_max
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- task:
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dataset:
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type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
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- task:
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dataset:
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type: mteb/trec-covid
config: default
split: test
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
metrics:
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- type: ndcg_at_5
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- type: nauc_recall_at_5_max
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type: mteb/touche2020
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revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
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type: Classification
dataset:
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type: mteb/toxic_conversations_50k
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics:
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dataset:
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type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
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dataset:
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type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
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dataset:
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type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
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dataset:
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type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
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stabilityai/stable-point-aware-3d | stabilityai | 77bf40a1743d6824043d45b006ffe022529e0e32 | 2025-01-16T19:44:05+00:00 | 2024-12-28T16:19:25Z | false | auto | null | 2,714 | null | 268 | null | null | null | null | [
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StephanST/unidrone | StephanST | 12a32cc17fcedbee2c527c3e9356e2e4994fbc2e | 2025-03-30T12:49:12+00:00 | 2024-12-30T17:08:48Z | false | False | null | 0 | null | 5 | null | null | null | null | [
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yandex/YandexGPT-5-Lite-8B-pretrain | yandex | db0150f6091e57f53378f436b886da2102b45c3d | 2025-02-25T15:17:34+00:00 | 2025-02-21T16:46:19Z | false | False | null | 11,343 | null | 179 | null | null | null | null | [
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I agree to use this model for non-commercial use ONLY: checkbox | null | 67c4cf687a31bf4b1d19c639 | CohereForAI/aya-vision-32b |
mims-harvard/TxAgent-T1-Llama-3.1-8B | mims-harvard | 71d0a4b328905f584d518e2c4d5ebf9a76278775 | 2025-03-17T00:48:19+00:00 | 2025-03-03T15:20:27Z | false | False | null | 4,881 | null | 13 | null | null | null | null | [
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tencent/HunyuanVideo-I2V | tencent | 3914f209367854b5e470f062c33159d5ab139e1e | 2025-03-13T10:36:22+00:00 | 2025-03-05T09:27:03Z | false | False | null | 4,088 | null | 280 | null | null | null | null | [
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trashpanda-org/QwQ-32B-Snowdrop-v0 | trashpanda-org | d93c4b6679f157e1114b1c5e2e0b087a390b7a55 | 2025-03-12T23:19:52+00:00 | 2025-03-08T07:23:20Z | false | False | null | 4,016 | null | 50 | transformers | null | null | null | [
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yyy1026/songMix | yyy1026 | 7bbec8917a33eadddbc02cc8cd8ffd4c6d043fa9 | 2025-03-30T10:48:49+00:00 | 2025-03-08T08:37:44Z | false | False | null | 0 | null | 17 | null | null | null | null | [
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jameslahm/yoloe | jameslahm | b584da188a198a2e6aa0e013d3fef6d55b212603 | 2025-03-30T13:45:19+00:00 | 2025-03-10T07:54:02Z | false | False | null | 42,293 | null | 26 | ultralytics | null | null | null | [
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litert-community/Gemma3-1B-IT | litert-community | cd8055d01bce8024e3b2a6d8c513b8070a362074 | 2025-03-12T06:47:06+00:00 | 2025-03-11T20:49:11Z | false | auto | null | 0 | null | 19 | null | null | null | null | [
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license: gemma
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | null | null | null | [
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license: gemma
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | 67d0a1c72846d0f78ffd33e6 | litert-community/Gemma3-1B-IT |
LGAI-EXAONE/EXAONE-Deep-7.8B-GGUF | LGAI-EXAONE | b317545742931021fc291324c30cefb649e3dcad | 2025-03-18T12:50:08+00:00 | 2025-03-12T04:43:50Z | false | False | null | 23,210 | null | 33 | transformers | null | null | null | [
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language:
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library_name: transformers
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license_name: exaone
license_link: LICENSE
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LGAI-EXAONE/EXAONE-Deep-32B-GGUF | LGAI-EXAONE | 4ba3a5454685aa7fda2b77c62c810879c084d78c | 2025-03-18T12:49:59+00:00 | 2025-03-12T04:44:23Z | false | False | null | 23,502 | null | 43 | transformers | null | null | null | [
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unsloth/gemma-3-4b-it-GGUF | unsloth | a991b991626e693ca0bba13415b912d3ac44a798 | 2025-03-16T00:01:23+00:00 | 2025-03-12T09:04:23Z | false | False | null | 62,664 | null | 54 | transformers | null | null | null | [
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unsloth/gemma-3-27b-it-GGUF | unsloth | 887ea622c6c613b2ed8c71ff885ac42f91e67810 | 2025-03-16T00:01:52+00:00 | 2025-03-12T10:15:27Z | false | False | null | 134,323 | null | 82 | transformers | null | null | null | [
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bartowski/google_gemma-3-27b-it-GGUF | bartowski | 4a05c54413bd0d87d77a97af403266f69cec0ee6 | 2025-03-22T19:09:05+00:00 | 2025-03-12T13:13:51Z | false | False | null | 89,982 | null | 46 | null | null | null | null | [
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pipeline_tag: image-text-to-text
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
extra_gated_heading: Access Gemma on Hugging Face | null | null | null | null | [
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] | null | null | null | 2025-03-22T19:09:05+00:00 | base_model: google/gemma-3-27b-it
license: gemma
pipeline_tag: image-text-to-text
quantized_by: bartowski
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
extra_gated_heading: Access Gemma on Hugging Face | null | 67d1888f63e526362428a291 | bartowski/google_gemma-3-27b-it-GGUF |
allenai/OLMo-2-0325-32B-Instruct | allenai | b96024342a77a69aa0dda815c3454a671f477463 | 2025-03-14T22:45:15+00:00 | 2025-03-12T20:28:55Z | false | False | null | 9,920 | null | 116 | transformers | null | null | null | [
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] | text-generation | null | 5 | base_model:
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datasets:
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language:
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library_name: transformers
license: apache-2.0
pipeline_tag: text-generation | null | null | null | null | [
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datasets:
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language:
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library_name: transformers
license: apache-2.0
pipeline_tag: text-generation | null | 67d1ee871d28e9ef2ca7f89a | allenai/OLMo-2-0325-32B-Instruct |
Lightricks/LTX-Video-0.9.5 | Lightricks | 0a938e13e1bbdb2d1bc231bfac0f450cdaf6b521 | 2025-03-18T11:48:56+00:00 | 2025-03-16T11:14:42Z | false | False | null | 851 | null | 13 | diffusers | null | null | null | [
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] | text-to-video | null | 5 | language:
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library_name: diffusers
license: other
pipeline_tag: text-to-video
tags:
- ltx-video
- image-to-video
pinned: true | null | null | null | null | [
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] | null | null | null | 2025-03-18T11:48:56+00:00 | language:
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pinned: true | null | 67d6b2a2cfcaac2e8e71125e | Lightricks/LTX-Video-0.9.5 |
mlabonne/gemma-3-12b-it-abliterated-GGUF | mlabonne | e99078f7ff610e23afa33ecdcb5dfb07205fefef | 2025-03-18T09:08:58+00:00 | 2025-03-17T18:03:34Z | false | False | null | 34,612 | null | 26 | transformers | null | null | null | [
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] | image-text-to-text | null | 5 | base_model: google/gemma-3-12b-it
library_name: transformers
license: gemma
pipeline_tag: image-text-to-text
tags:
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- gguf | null | null | null | null | [
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library_name: transformers
license: gemma
pipeline_tag: image-text-to-text
tags:
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mradermacher/Mistral-Small-3.1-DRAFT-0.5B-GGUF | mradermacher | 16100ee1ee07c8080a10f1441e72fce8cbfcc789 | 2025-03-20T22:52:51+00:00 | 2025-03-18T20:42:35Z | false | False | null | 1,083 | null | 5 | transformers | null | null | null | [
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] | null | null | 5 | base_model: alamios/Mistral-Small-3.1-DRAFT-0.5B
datasets:
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language:
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library_name: transformers
license: apache-2.0
tags:
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quantized_by: mradermacher | null | null | null | null | [
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] | null | null | null | 2025-03-20T22:52:51+00:00 | base_model: alamios/Mistral-Small-3.1-DRAFT-0.5B
datasets:
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language:
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- fr
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- it
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library_name: transformers
license: apache-2.0
tags:
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quantized_by: mradermacher | null | 67d9dabb5af62a88bd7b9e3d | mradermacher/Mistral-Small-3.1-DRAFT-0.5B-GGUF |
bartowski/nvidia_Llama-3_3-Nemotron-Super-49B-v1-GGUF | bartowski | aa0ecb1df507fc53c83f5a7e33c5043140f4f45a | 2025-03-19T01:20:04+00:00 | 2025-03-18T22:42:31Z | false | False | null | 118,962 | null | 27 | null | null | null | null | [
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"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | null | 5 | base_model: nvidia/Llama-3_3-Nemotron-Super-49B-v1
language:
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license: other
license_name: nvidia-open-model-license
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
pipeline_tag: text-generation
tags:
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quantized_by: bartowski
base_model_relation: quantized | null | null | null | null | [
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"nvidia_Llama-3_3-Nemotron-Super-49B-v1.imatrix"
] | null | null | null | 2025-03-19T01:20:04+00:00 | base_model: nvidia/Llama-3_3-Nemotron-Super-49B-v1
language:
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license: other
license_name: nvidia-open-model-license
license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
pipeline_tag: text-generation
tags:
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- llama-3
quantized_by: bartowski
base_model_relation: quantized | null | 67d9f6d70eab92bb6c9a3f74 | bartowski/nvidia_Llama-3_3-Nemotron-Super-49B-v1-GGUF |
Huage001/URAE | Huage001 | 8bce3e940f9f0db7817ef988ba3e064b1f0f3e1e | 2025-03-19T14:34:17+00:00 | 2025-03-19T06:46:11Z | false | False | null | 0 | null | 6 | null | null | null | null | [
"license:apache-2.0",
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] | null | null | 5 | license: apache-2.0 | null | null | null | null | [
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"urae_4k_adapter_lora_conversion_schnell.safetensors"
] | null | null | null | 2025-03-19T14:34:17+00:00 | license: apache-2.0 | null | 67da6833020ee588d6229945 | Huage001/URAE |
samgreen/Qwen2.5-VL-7B-Instruct-GGUF | samgreen | 38f79d135a730d5005ff498f9ab81cadb6f7d435 | 2025-03-28T07:37:24+00:00 | 2025-03-21T00:06:16Z | false | False | null | 3,807 | null | 6 | null | null | null | null | [
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"license:apache-2.0",
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"conversational"
] | image-text-to-text | null | 5 | base_model:
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language:
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license: apache-2.0
pipeline_tag: image-text-to-text
tags:
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] | null | null | null | 2025-03-28T07:37:24+00:00 | base_model:
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language:
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license: apache-2.0
pipeline_tag: image-text-to-text
tags:
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Yuppie1204/LayerAnimate-Mix | Yuppie1204 | fc843611cbcb0d68c180b7071a9490fe1faa17b2 | 2025-03-25T08:23:49+00:00 | 2025-03-22T09:10:57Z | false | False | null | 0 | null | 5 | diffusers | null | null | null | [
"diffusers",
"safetensors",
"video generation",
"CreateAI",
"image-to-video",
"arxiv:2501.08295",
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"region:us"
] | image-to-video | null | 5 | library_name: diffusers
license: mit
pipeline_tag: image-to-video
tags:
- video generation
- CreateAI | null | null | null | null | [
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"vae_dualref/config.json",
"vae_dualref/diffusion_pytorch_model.safetensors"
] | null | null | null | 2025-03-25T08:23:49+00:00 | library_name: diffusers
license: mit
pipeline_tag: image-to-video
tags:
- video generation
- CreateAI | null | 67de7ea12d87888551adeb51 | Yuppie1204/LayerAnimate-Mix |
dartags/DanbotNL-2408-260M | dartags | eef951becbb92be6c570e1b38c542c3a24557115 | 2025-03-24T13:58:14+00:00 | 2025-03-23T15:43:57Z | false | False | null | 355 | null | 5 | transformers | null | null | null | [
"transformers",
"safetensors",
"danbot_nl",
"pretraining",
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"ja",
"en",
"dataset:dartags/danbooru-2408-blind-captions",
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"base_model:finetune:sbintuitions/modernbert-ja-130m",
"license:apache-2.0",
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] | null | null | 5 | base_model:
- sbintuitions/modernbert-ja-130m
datasets:
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- isek-ai/danbooru-tags-2024
- isek-ai/danbooru-wiki-2024
language:
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- en
library_name: transformers
license: apache-2.0 | null | null | null | null | [
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] | null | null | null | 2025-03-24T13:58:14+00:00 | base_model:
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datasets:
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- isek-ai/danbooru-tags-2024
- isek-ai/danbooru-wiki-2024
language:
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library_name: transformers
license: apache-2.0 | null | 67e02c3dbc3c3533c5b2fac2 | dartags/DanbotNL-2408-260M |
boltuix/bert-trip-plan | boltuix | 0d19e82f1d3b98b3d1da2d6ec31ff556722225dd | 2025-03-29T08:38:04+00:00 | 2025-03-25T11:25:18Z | false | False | null | 191 | null | 5 | transformers | null | null | null | [
"transformers",
"safetensors",
"bert",
"token-classification",
"ner",
"travel",
"trip-planning",
"fine-tuned",
"bio-tagging",
"custom-dataset",
"pytorch",
"english",
"tripplan",
"en",
"dataset:custom",
"dataset:eriktks/conll2002",
"dataset:chatgpt",
"base_model:prajjwal1/bert-mini",
"base_model:finetune:prajjwal1/bert-mini",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | token-classification | null | 5 | base_model:
- prajjwal1/bert-mini
datasets:
- custom
- eriktks/conll2002
- chatgpt
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- f1
- precision
- recall
pipeline_tag: token-classification
tags:
- token-classification
- ner
- travel
- trip-planning
- bert
- transformers
- fine-tuned
- bio-tagging
- custom-dataset
- pytorch
- english
- tripplan
new_version: v1.1 | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2025-03-29T08:38:04+00:00 | base_model:
- prajjwal1/bert-mini
datasets:
- custom
- eriktks/conll2002
- chatgpt
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- f1
- precision
- recall
pipeline_tag: token-classification
tags:
- token-classification
- ner
- travel
- trip-planning
- bert
- transformers
- fine-tuned
- bio-tagging
- custom-dataset
- pytorch
- english
- tripplan
new_version: v1.1 | null | 67e2929ea1e569cd0a448fa2 | boltuix/bert-trip-plan |
distilbert/distilbert-base-uncased-finetuned-sst-2-english | distilbert | 714eb0fa89d2f80546fda750413ed43d93601a13 | 2023-12-19T16:29:37+00:00 | 2022-03-02T23:29:04Z | false | False | null | 6,970,300 | null | 721 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"rust",
"onnx",
"safetensors",
"distilbert",
"text-classification",
"en",
"dataset:sst2",
"dataset:glue",
"arxiv:1910.01108",
"doi:10.57967/hf/0181",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 4 | datasets:
- sst2
- glue
language: en
license: apache-2.0
model-index:
- name: distilbert-base-uncased-finetuned-sst-2-english
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
config: sst2
split: validation
metrics:
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value: 0.9105504587155964
name: Accuracy
verified: true
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name: Precision
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name: Recall
verified: true
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name: AUC
verified: true
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- type: f1
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name: F1
verified: true
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name: loss
verified: true
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- task:
type: text-classification
name: Text Classification
dataset:
name: sst2
type: sst2
config: default
split: train
metrics:
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value: 0.9885521685548412
name: Accuracy
verified: true
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verified: true
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- type: precision
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name: Precision Micro
verified: true
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- type: precision
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name: Precision Weighted
verified: true
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- type: recall
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name: Recall Macro
verified: true
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name: Recall Micro
verified: true
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- type: recall
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verified: true
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name: loss
verified: true
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"map.jpeg",
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"pytorch_model.bin",
"rust_model.ot",
"tf_model.h5",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2023-12-19T16:29:37+00:00 | datasets:
- sst2
- glue
language: en
license: apache-2.0
model-index:
- name: distilbert-base-uncased-finetuned-sst-2-english
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: glue
type: glue
config: sst2
split: validation
metrics:
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value: 0.9105504587155964
name: Accuracy
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name: Recall
verified: true
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name: AUC
verified: true
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name: Text Classification
dataset:
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type: sst2
config: default
split: train
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verified: true
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verified: true
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verified: true
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google/vit-base-patch16-224-in21k | google | b4569560a39a0f1af58e3ddaf17facf20ab919b0 | 2024-02-05T16:37:39+00:00 | 2022-03-02T23:29:05Z | false | False | null | 16,876,376 | null | 316 | transformers | null | explicit-opt-out | null | [
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nlpaueb/legal-bert-base-uncased | nlpaueb | 15b570cbf88259610b082a167dacc190124f60f6 | 2022-04-28T14:42:50+00:00 | 2022-03-02T23:29:05Z | false | False | null | 552,993 | null | 225 | transformers | null | loading | null | [
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pyannote/segmentation | pyannote | 660b9e20307a2b0cdb400d0f80aadc04a701fc54 | 2024-05-10T19:38:44+00:00 | 2022-03-02T23:29:05Z | false | auto | null | 5,638,418 | null | 559 | pyannote-audio | null | explicit-opt-out | null | [
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We also provide scientific consulting services around speaker diarization and machine
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We also provide scientific consulting services around speaker diarization and machine
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- zh-cn
- zh-tw | null | 621ffdc136468d709f1802ed | sentence-transformers/paraphrase-multilingual-mpnet-base-v2 |
speechbrain/spkrec-ecapa-voxceleb | speechbrain | 0f99f2d0ebe89ac095bcc5903c4dd8f72b367286 | 2025-02-18T12:29:58+00:00 | 2022-03-02T23:29:05Z | false | False | null | 2,120,563 | null | 194 | speechbrain | null | null | null | [
"speechbrain",
"embeddings",
"Speaker",
"Verification",
"Identification",
"pytorch",
"ECAPA",
"TDNN",
"en",
"dataset:voxceleb",
"arxiv:2106.04624",
"license:apache-2.0",
"region:us"
] | null | null | 4 | datasets:
- voxceleb
language: en
license: apache-2.0
metrics:
- EER
tags:
- speechbrain
- embeddings
- Speaker
- Verification
- Identification
- pytorch
- ECAPA
- TDNN
widget:
- example_title: VoxCeleb Speaker id10003
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb1_00003.wav
- example_title: VoxCeleb Speaker id10004
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb_00004.wav | null | null | null | null | [
".gitattributes",
"README.md",
"classifier.ckpt",
"config.json",
"embedding_model.ckpt",
"example1.wav",
"example2.flac",
"hyperparams.yaml",
"label_encoder.txt",
"mean_var_norm_emb.ckpt"
] | null | null | null | 2025-02-18T12:29:58+00:00 | datasets:
- voxceleb
language: en
license: apache-2.0
metrics:
- EER
tags:
- speechbrain
- embeddings
- Speaker
- Verification
- Identification
- pytorch
- ECAPA
- TDNN
widget:
- example_title: VoxCeleb Speaker id10003
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb1_00003.wav
- example_title: VoxCeleb Speaker id10004
src: https://cdn-media.huggingface.co/speech_samples/VoxCeleb_00004.wav | null | 621ffdc136468d709f1807d3 | speechbrain/spkrec-ecapa-voxceleb |
MCG-NJU/videomae-large | MCG-NJU | 12da269a02d3e1fbbb7011e610e591fea8061dca | 2024-04-01T07:22:51+00:00 | 2022-08-02T14:02:31Z | false | False | null | 5,347 | null | 29 | transformers | null | not-popular-enough | null | [
"transformers",
"pytorch",
"safetensors",
"videomae",
"pretraining",
"vision",
"video-classification",
"arxiv:2203.12602",
"arxiv:2111.06377",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | video-classification | null | 4 | license: cc-by-nc-4.0
tags:
- vision
- video-classification | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"preprocessor_config.json",
"pytorch_model.bin"
] | null | null | null | 2024-04-01T07:22:51+00:00 | license: cc-by-nc-4.0
tags:
- vision
- video-classification | null | 62e92e778e488fbe9c96207a | MCG-NJU/videomae-large |
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