About

weighted/imatrix quants of https://huggingface.co/OpenGVLab/InternVL3_5-241B-A28B

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

static quants are available at https://huggingface.co/mradermacher/InternVL3_5-241B-A28B-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 0.6 imatrix file (for creating your own qwuants)
GGUF i1-IQ1_S 48.0 for the desperate
PART 1 PART 2 i1-IQ1_M 53.2 mostly desperate
PART 1 PART 2 i1-IQ2_XXS 61.9
PART 1 PART 2 i1-IQ2_XS 68.9
PART 1 PART 2 i1-IQ2_S 70.3
PART 1 PART 2 i1-IQ2_M 77.3
PART 1 PART 2 i1-Q2_K_S 79.9 very low quality
PART 1 PART 2 i1-Q2_K 85.8 IQ3_XXS probably better
PART 1 PART 2 i1-IQ3_XXS 90.5 lower quality
PART 1 PART 2 i1-IQ3_XS 96.1
PART 1 PART 2 PART 3 i1-Q3_K_S 101.5 IQ3_XS probably better
PART 1 PART 2 PART 3 i1-IQ3_S 101.6 beats Q3_K*
PART 1 PART 2 PART 3 i1-IQ3_M 103.2
PART 1 PART 2 PART 3 i1-Q3_K_M 112.5 IQ3_S probably better
PART 1 PART 2 PART 3 i1-Q3_K_L 121.9 IQ3_M probably better
PART 1 PART 2 PART 3 i1-IQ4_XS 125.4
PART 1 PART 2 PART 3 i1-Q4_0 133.2 fast, low quality
PART 1 PART 2 PART 3 i1-Q4_K_S 133.8 optimal size/speed/quality
PART 1 PART 2 PART 3 i1-Q4_K_M 142.3 fast, recommended
PART 1 PART 2 PART 3 i1-Q4_1 147.3
PART 1 PART 2 PART 3 PART 4 i1-Q5_K_S 162.0
PART 1 PART 2 PART 3 PART 4 i1-Q5_K_M 166.9
PART 1 PART 2 PART 3 PART 4 i1-Q6_K 193.1 practically like static Q6_K

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. 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.

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