About

static quants of https://huggingface.co/Qwen/Qwen2.5-32B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2.5-32B-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 12.4
GGUF IQ3_XS 13.8
GGUF Q3_K_S 14.5
GGUF IQ3_S 14.5 beats Q3_K*
GGUF IQ3_M 14.9
GGUF Q3_K_M 16.0 lower quality
GGUF Q3_K_L 17.3
GGUF IQ4_XS 18.0
GGUF Q4_0 18.7 fast, low quality
GGUF Q4_0_4_4 18.7 fast on arm, low quality
GGUF Q4_0_4_8 18.7 fast on arm+i8mm, low quality
GGUF Q4_0_8_8 18.7 fast on arm+sve, low quality
GGUF Q4_K_S 18.9 fast, recommended
GGUF IQ4_NL 18.9 prefer IQ4_XS
GGUF Q4_K_M 20.0 fast, recommended
GGUF Q4_1 20.7
GGUF Q5_0 22.7
GGUF Q5_K_S 22.7
GGUF Q5_K_M 23.4
GGUF Q5_1 24.7
GGUF Q6_K 27.0 very good quality
GGUF Q8_0 34.9 fast, best quality
PART 1 PART 2 SOURCE 65.6 source gguf, only provided when it was hard to come by

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.

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