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---
license: llama2
model-index:
- name: speechless-mistral-7b-dare-0.85
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 63.31
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 84.93
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.22
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 50.68
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 79.32
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 19.86
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=speechlessai/speechless-mistral-7b-dare-0.85
name: Open LLM Leaderboard
---
* [AWQ model(s) for GPU inference.](https://huggingface.co/TheBloke/speechless-mistral-7B-dare-0.85-AWQ)
* [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/speechless-mistral-7B-dare-0.85-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGUF models for CPU+GPU inference](https://huggingface.co/TheBloke/speechless-mistral-7B-dare-0.85-GGUF)
Experiment for DARE(Drop and REscale), most of the delta parameters can be directly set to zeros without affecting the capabilities of SFT LMs and larger models can tolerate a higher proportion of discarded parameters.
Merged with below DARE models.
weight_mask_rate: 0.85 / use_weight_rescale: True / mask_stratery: random / scaling_coefficient: 1.0
| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
| ------ | ------ | ------ | ------ | ------ | ------ | ------ | ------ |
| Intel/neural-chat-7b-v3-1 | 61.59 | **66.21** | 83.64 | 62.37 | 59.65 | 78.14 | 19.56 |
| migtissera/SynthIA-7B-v1.3 | 59.34 | 62.12 | 83.45 | 62.65 | 51.37 | 78.85 | 17.59 |
| bhenrym14/mistral-7b-platypus-fp16 | 58.71 | 63.05 | 84.15 | 64.11 | 45.07 | 78.53 | 17.36 |
| jondurbin/airoboros-m-7b-3.1.2 | 58.75 | 61.86 | 83.51 | 61.91 | 53.75 | 77.58 | 13.87 |
| teknium/CollectiveCognition-v1.1-Mistral-7B | 62.92 | 62.12 | 84.17 | 62.35 | **57.62** | 75.37 | 15.62 |
| uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b | 62.06 | 64.33 | 84.4 | 63.72 | 52.52 | 78.37 | 21.38 |
| | | | | | | | |
| speechless-mistral-7b-dare-0.85 (Merge 6 DARE models) | **64.69** | 63.57 | **84.82** | **64.29** | 50.66 | **79.24** | **45.56** |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_speechlessai__speechless-mistral-7b-dare-0.85)
| Metric |Value|
|---------------------------------|----:|
|Avg. |60.39|
|AI2 Reasoning Challenge (25-Shot)|63.31|
|HellaSwag (10-Shot) |84.93|
|MMLU (5-Shot) |64.22|
|TruthfulQA (0-shot) |50.68|
|Winogrande (5-shot) |79.32|
|GSM8k (5-shot) |19.86|
|