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mradermacher/guanaco-65b-i1-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face

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weighted/imatrix quants of https://huggingface.co/timdettmers/guanaco-65b

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.

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	14.7	for the desperate
GGUF	i1-IQ1_M	15.5	mostly desperate
GGUF	i1-IQ2_XXS	17.9
GGUF	i1-IQ2_XS	19.7
GGUF	i1-IQ2_S	21.2
GGUF	i1-IQ2_M	22.9
GGUF	i1-Q2_K	24.5	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	25.1	lower quality
GGUF	i1-IQ3_XS	27.1
GGUF	i1-IQ3_S	28.6	beats Q3_K*
GGUF	i1-Q3KS	28.6	IQ3_XS probably better
GGUF	i1-IQ3_M	30.2
GGUF	i1-Q3KM	32.0	IQ3_S probably better
GGUF	i1-IQ4_XS	34.9
GGUF	i1-Q3KL	35.1	IQ3_M probably better
GGUF	i1-Q4_0	37.0	fast, low quality
GGUF	i1-Q4KS	37.5	optimal size/speed/quality
GGUF	i1-Q4KM	39.8	fast, recommended
GGUF	i1-Q5KS	45.3
GGUF	i1-Q5KM	46.6
PART 1 PART 2	i1-Q6_K	53.7	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

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.