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mradermacher/
llava-v1.6-mistral-7b-GGUF

Name: llava-v1.6-mistral-7b-GGUF
Availability: InStock

quantized

TitanML/llava-v1.6-mistral-7b

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About

static quants of https://huggingface.co/TitanML/llava-v1.6-mistral-7b

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	3.0
GGUF	IQ3_XS	3.3
GGUF	Q3_K_S	3.4
GGUF	IQ3_S	3.4	beats Q3_K*
GGUF	IQ3_M	3.5
GGUF	Q3_K_M	3.8	lower quality
GGUF	Q3_K_L	4.1
GGUF	IQ4_XS	4.2
GGUF	Q4_0	4.4	fast, low quality
GGUF	Q4_K_S	4.4	fast, recommended
GGUF	IQ4_NL	4.4	prefer IQ4_XS
GGUF	Q4_K_M	4.6	fast, recommended
GGUF	Q5_K_S	5.3
GGUF	Q5_K_M	5.4
GGUF	Q6_K	6.2	very good quality
GGUF	Q8_0	7.9	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.

mradermacher/llava-v1.6-mistral-7b-GGUF