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EVA-Qwen2.5-7B-v0.1-GGUF

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metadata
base_model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
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
  - allura-org/shortstories_synthlabels
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

About

static quants of https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1

weighted/imatrix quants are available at https://huggingface.co/mradermacher/EVA-Qwen2.5-7B-v0.1-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 3.1
GGUF IQ3_XS 3.4
GGUF Q3_K_S 3.6
GGUF IQ3_S 3.6 beats Q3_K*
GGUF IQ3_M 3.7
GGUF Q3_K_M 3.9 lower quality
GGUF Q3_K_L 4.2
GGUF IQ4_XS 4.4
GGUF Q4_K_S 4.6 fast, recommended
GGUF Q4_K_M 4.8 fast, recommended
GGUF Q5_K_S 5.4
GGUF Q5_K_M 5.5
GGUF Q6_K 6.4 very good quality
GGUF Q8_0 8.2 fast, best quality
GGUF f16 15.3 16 bpw, overkill

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.