Modelpublic

mradermacher/miqu-1-70b-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/miqudev/miqu-1-70b

weighted/imatrix quants are available at https://huggingface.co/mradermacher/miqu-1-70b-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)

Link	Type	Size/GB	Notes
GGUF	Q2_K	25.6
GGUF	IQ3_XS	28.4
GGUF	IQ3_S	30.0	beats Q3_K*
GGUF	Q3KS	30.0
GGUF	IQ3_M	31.0
GGUF	Q3KM	33.4	lower quality
GGUF	Q3KL	36.2
GGUF	IQ4_XS	37.3
GGUF	Q4_0	39.0	fast, low quality
GGUF	Q404_4	39.0	fast on arm, low quality
GGUF	Q404_8	39.0	fast on arm+i8mm, low quality
GGUF	Q408_8	39.0	fast on arm+sve, low quality
GGUF	IQ4_NL	39.3	prefer IQ4_XS
GGUF	Q4KS	39.3	fast, recommended
GGUF	Q4KM	41.5	fast, recommended
GGUF	Q4_1	43.3
GGUF	Q5_0	47.6
GGUF	Q5KS	47.6
GGUF	Q5KM	48.9
PART 1 PART 2	Q5_1	51.9

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

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.