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mradermacher/dots.llm1.base-i1-GGUF

sourceHugging Facemitupdated 1mo agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/dots-studio/dots.llm1.base

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#dots.llm1.base-i1-GGUF).*

static quants are available at https://huggingface.co/mradermacher/dots.llm1.base-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
GGUFi1-IQ1_S45.5for the desperate
GGUFi1-IQ1_M47.7mostly desperate
PART 1 PART 2i1-IQ2_XXS51.4
PART 1 PART 2i1-IQ2_XS54.4
PART 1 PART 2i1-IQ2_S54.6
PART 1 PART 2i1-IQ2_M57.5
PART 1 PART 2i1-Q2_K58.2IQ3_XXS probably better
PART 1 PART 2i1-Q2KS58.5very low quality
PART 1 PART 2i1-IQ3_XXS63.1lower quality
PART 1 PART 2i1-IQ3_XS64.4
PART 1 PART 2i1-IQ3_S67.8beats Q3_K*
PART 1 PART 2i1-Q3KS67.8IQ3_XS probably better
PART 1 PART 2i1-IQ3_M68.6
PART 1 PART 2i1-Q3KM73.9IQ3_S probably better
PART 1 PART 2i1-Q3KL77.0IQ3_M probably better
PART 1 PART 2i1-IQ4_XS77.7
PART 1 PART 2i1-Q4_081.0fast, low quality
PART 1 PART 2i1-Q4KS86.6optimal size/speed/quality
PART 1 PART 2i1-Q4_189.6
PART 1 PART 2i1-Q4KM94.6fast, recommended
PART 1 PART 2 PART 3i1-Q5KS101.3
PART 1 PART 2 PART 3i1-Q5KM108.1
PART 1 PART 2 PART 3i1-Q6_K128.2practically like static Q6_K

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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