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mradermacher/malaysian-Llama-3.2-1B-Instruct-GGUF

sourceHugging Faceupdated 1mo agoView on Hugging Face
0likes648downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mesolitica/Malaysian-Llama-3.2-1B-Instruct-v0.1

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#malaysian-Llama-3.2-1B-Instruct-GGUF).*

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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
PART 1 PART 2Q2_K1.4
PART 1 PART 2Q3KS1.6
PART 1 PART 2Q3KM1.7lower quality
PART 1 PART 2Q3KL1.8
PART 1 PART 2IQ4_XS1.9
PART 1 PART 2Q4KS1.9fast, recommended
PART 1 PART 2Q4KM2.0fast, recommended
PART 1 PART 2Q5KS2.2
PART 1 PART 2Q5KM2.3
PART 1 PART 2Q6_K2.6very good quality
PART 1 PART 2Q8_03.3fast, best quality
PART 1 PART 2f166.116 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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