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GGUF
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About

static quants of https://huggingface.co/jondurbin/bagel-dpo-20b-v04

weighted/imatrix quants are available at https://huggingface.co/mradermacher/bagel-dpo-20b-v04-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 8.3
GGUF IQ3_XS 9.1
GGUF Q3_K_S 9.5
GGUF IQ3_S 9.6 beats Q3_K*
GGUF IQ3_M 9.9
GGUF Q3_K_M 10.5 lower quality
GGUF Q3_K_L 11.3
GGUF IQ4_XS 11.6
GGUF Q4_K_S 12.2 fast, recommended
GGUF Q4_K_M 12.8 fast, recommended
GGUF Q5_K_S 14.5
GGUF Q5_K_M 14.8
GGUF Q6_K 17.1 very good quality
GGUF Q8_0 21.7 fast, best quality
GGUF SOURCE 39.8 source gguf, only provided when it was hard to come by

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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GGUF
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internlm2
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Quantized from

Datasets used to train mradermacher/bagel-dpo-20b-v04-GGUF