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mradermacher/LocalAI-functioncall-phi-4-v0.3-GGUF

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face
1likes580downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> static quants of https://huggingface.co/LocalAI-io/LocalAI-functioncall-phi-4-v0.3

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#LocalAI-functioncall-phi-4-v0.3-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/LocalAI-functioncall-phi-4-v0.3-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_K5.7
GGUFQ3KS6.6
GGUFQ3KM7.3lower quality
GGUFQ3KL7.9
GGUFIQ4_XS8.2
GGUFQ4KS8.5fast, recommended
GGUFQ4KM9.0fast, recommended
GGUFQ5KS10.3
GGUFQ5KM10.5
GGUFQ6_K12.1very good quality
GGUFQ8_015.7fast, 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. 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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