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mradermacher/Llama-3.2-4X3B-MOE-Hell-California-10B-GGUF

sourceHugging Faceupdated 1y agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/DavidAU/Llama-3.2-4X3B-MOE-Hell-California-10B

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3.2-4X3B-MOE-Hell-California-10B-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)

LinkTypeSize/GBNotes
GGUFQ2_K3.9
GGUFQ3KS4.5
GGUFQ3KM5.0lower quality
GGUFQ3KL5.4
GGUFIQ4_XS5.6
GGUFQ4KS5.8fast, recommended
GGUFQ4KM6.2fast, recommended
GGUFQ5KS7.0
GGUFQ5KM7.2
GGUFQ6_K8.3very good quality
GGUFQ8_010.7fast, best quality
GGUFf1620.016 bpw, overkill

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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