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EVA-Qwen2.5-72B-v0.2-padded-GGUF

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metadata
base_model: CalamitousFelicitousness/EVA-Qwen2.5-72B-v0.2-padded
datasets:
  - anthracite-org/kalo-opus-instruct-22k-no-refusal
  - Nopm/Opus_WritingStruct
  - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
  - Gryphe/Sonnet3.5-Charcard-Roleplay
  - Gryphe/ChatGPT-4o-Writing-Prompts
  - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
  - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
  - nothingiisreal/Reddit-Dirty-And-WritingPrompts
  - allura-org/Celeste-1.x-data-mixture
  - cognitivecomputations/dolphin-2.9.3
language:
  - en
library_name: transformers
license: other
license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
license_name: qwen
quantized_by: mradermacher
tags:
  - generated_from_trainer

About

static quants of https://huggingface.co/CalamitousFelicitousness/EVA-Qwen2.5-72B-v0.2-padded

weighted/imatrix quants are available at https://huggingface.co/mradermacher/EVA-Qwen2.5-72B-v0.2-padded-i1-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 Q2_K 27.4
GGUF Q3_K_S 32.1
GGUF Q3_K_M 35.6 lower quality
GGUF Q3_K_L 38.5
GGUF IQ4_XS 39.7
GGUF Q4_K_S 41.9 fast, recommended
GGUF Q4_K_M 44.1 fast, recommended
PART 1 PART 2 Q5_K_S 50.4
PART 1 PART 2 Q5_K_M 51.8
PART 1 PART 2 Q6_K 60.0 very good quality
PART 1 PART 2 Q8_0 77.6 fast, best quality

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.