mradermacher/INTELLECT-3V-GGUF

About

static quants of https://huggingface.co/QuixiAI/INTELLECT-3V

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/INTELLECT-3V-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	mmproj-Q8_0	1.1	multi-modal supplement
GGUF	mmproj-f16	1.8	multi-modal supplement
GGUF	Q2_K	43.7
GGUF	Q3_K_S	50.8
GGUF	Q3_K_M	55.4	lower quality
GGUF	Q3_K_L	57.7
GGUF	IQ4_XS	58.8
GGUF	Q4_K_S	64.8	fast, recommended
GGUF	Q4_K_M	70.5	fast, recommended
GGUF	Q5_K_S	75.8
GGUF	Q5_K_M	80.7
GGUF	Q6_K	96.0	very good quality
GGUF	Q8_0	113.7	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.