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metadata
base_model: allura-org/Q3-30B-A3B-Designant
datasets:
  - PygmalionAI/PIPPA
  - Alfitaria/nemotron-ultra-reasoning-synthkink
  - PocketDoc/Dans-Prosemaxx-Gutenberg
  - FreedomIntelligence/Medical-R1-Distill-Data
  - cognitivecomputations/SystemChat-2.0
  - allenai/tulu-3-sft-personas-instruction-following
  - kalomaze/Opus_Instruct_25k
  - simplescaling/s1K-claude-3-7-sonnet
  - ai2-adapt-dev/flan_v2_converted
  - grimulkan/theory-of-mind
  - grimulkan/physical-reasoning
  - nvidia/HelpSteer3
  - nbeerbower/gutenberg2-dpo
  - nbeerbower/gutenberg-moderne-dpo
  - nbeerbower/Purpura-DPO
  - antiven0m/physical-reasoning-dpo
  - allenai/tulu-3-IF-augmented-on-policy-70b
  - NobodyExistsOnTheInternet/system-message-DPO
language:
  - en
library_name: transformers
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - mergekit
  - axolotl
  - unsloth
  - roleplay
  - conversational

About

weighted/imatrix quants of https://huggingface.co/allura-org/Q3-30B-A3B-Designant

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF i1-Q2_K 11.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 11.9 lower quality
GGUF i1-IQ3_XS 12.7
GGUF i1-Q3_K_S 13.4 IQ3_XS probably better
GGUF i1-IQ3_S 13.4 beats Q3_K*
GGUF i1-IQ3_M 13.6
GGUF i1-Q3_K_M 14.8 IQ3_S probably better
GGUF i1-Q3_K_L 16.0 IQ3_M probably better
GGUF i1-IQ4_XS 16.5
GGUF i1-Q4_0 17.5 fast, low quality
GGUF i1-Q4_K_S 17.6 optimal size/speed/quality
GGUF i1-Q4_K_M 18.7 fast, recommended
GGUF i1-Q4_1 19.3
GGUF i1-Q5_K_S 21.2
GGUF i1-Q5_K_M 21.8
GGUF i1-Q6_K 25.2 practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.