mradermacher/GLM-4.6V-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/zai-org/GLM-4.6V

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

static quants are available at https://huggingface.co/mradermacher/GLM-4.6V-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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	imatrix	0.3	imatrix file (for creating your own quants)
GGUF	i1-IQ1_S	34.0	for the desperate
GGUF	i1-IQ1_M	35.6	mostly desperate
GGUF	i1-IQ2_XXS	38.3
GGUF	i1-IQ2_XS	40.6
GGUF	i1-IQ2_S	41.0
GGUF	i1-IQ2_M	43.1
GGUF	i1-Q2_K	43.7	IQ3_XXS probably better
GGUF	i1-Q2_K_S	43.8	very low quality
GGUF	i1-IQ3_XXS	47.3	lower quality
GGUF	i1-IQ3_XS	48.3
GGUF	i1-Q3_K_S	50.8	IQ3_XS probably better
GGUF	i1-IQ3_S	50.8	beats Q3_K*
GGUF	i1-IQ3_M	51.5
GGUF	i1-Q3_K_M	55.4	IQ3_S probably better
GGUF	i1-Q3_K_L	57.7	IQ3_M probably better
GGUF	i1-IQ4_XS	58.2
GGUF	i1-Q4_0	60.6	fast, low quality
GGUF	i1-Q4_K_S	64.8	optimal size/speed/quality
GGUF	i1-Q4_1	67.1
GGUF	i1-Q4_K_M	70.5	fast, recommended
GGUF	i1-Q5_K_S	75.8
GGUF	i1-Q5_K_M	80.7
GGUF	i1-Q6_K	96.0	practically like static Q6_K

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. 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.