Modelpublic

mradermacher/Codestral-22B-v0.1-GGUF

sourceHugging Faceotherupdated 1y agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/mistralai/Codestral-22B-v0.1

*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Codestral-22B-v0.1-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Codestral-22B-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	8.4
GGUF	IQ3_XS	9.3
GGUF	Q3KS	9.7
GGUF	IQ3_S	9.8	beats Q3_K*
GGUF	IQ3_M	10.2
GGUF	Q3KM	10.9	lower quality
GGUF	Q3KL	11.8
GGUF	IQ4_XS	12.1
GGUF	Q4KS	12.8	fast, recommended
GGUF	Q4KM	13.4	fast, recommended
GGUF	Q5KS	15.4
GGUF	Q5KM	15.8
GGUF	Q6_K	18.4	very good quality
GGUF	Q8_0	23.7	fast, best quality

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

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.