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mradermacher/SmolLM-360M-Instruct-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes3kdownloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/SmolLM-360M-Instruct-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
GGUFIQ3_S0.3beats Q3_K*
GGUFIQ3_XS0.3
GGUFQ2_K0.3
GGUFQ3KS0.3
GGUFIQ3_M0.3
GGUFIQ4_XS0.3
GGUFQ3KM0.3lower quality
GGUFQ3KL0.3
GGUFQ4KS0.4fast, recommended
GGUFQ4KM0.4fast, recommended
GGUFQ5KS0.4
GGUFQ5KM0.4
GGUFQ6_K0.5very good quality
GGUFQ8_00.5fast, best quality
GGUFf160.816 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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