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About

static quants of https://huggingface.co/GritLM/GritLM-8x7B

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 17.6
GGUF IQ3_XS 19.5
GGUF IQ3_S 20.7 beats Q3_K*
GGUF Q3_K_S 20.7
GGUF IQ3_M 21.7
GGUF Q3_K_M 22.8 lower quality
GGUF Q3_K_L 24.4
GGUF IQ4_XS 25.6
GGUF Q4_K_S 27.0 fast, recommended
GGUF Q4_K_M 28.7 fast, recommended
GGUF Q5_K_S 32.5
GGUF Q5_K_M 33.5
GGUF Q6_K 38.6 very good quality
PART 1 PART 2 Q8_0 49.8 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.

Downloads last month
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GGUF
Model size
46.7B params
Architecture
llama
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Quantized from

Dataset used to train mradermacher/GritLM-8x7B-GGUF