About

static quants of https://huggingface.co/OpenMOSE/Qwen3-VL-REAP-145B-A22B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-VL-REAP-145B-A22B-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 0.9 multi-modal supplement
GGUF mmproj-f16 1.3 multi-modal supplement
PART 1 PART 2 Q2_K 53.0
PART 1 PART 2 Q3_K_S 62.6
PART 1 PART 2 Q3_K_M 69.4 lower quality
PART 1 PART 2 Q3_K_L 75.2
PART 1 PART 2 IQ4_XS 78.1
PART 1 PART 2 Q4_K_S 82.4 fast, recommended
PART 1 PART 2 Q4_K_M 87.5 fast, recommended
PART 1 PART 2 PART 3 Q5_K_S 99.7
PART 1 PART 2 PART 3 Q5_K_M 102.7
PART 1 PART 2 PART 3 Q6_K 118.8 very good quality
PART 1 PART 2 PART 3 PART 4 Q8_0 153.8 fast, best quality

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.

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