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metadata
base_model: TheDrummer/Coomand-R-35B-v1
language:
  - en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
tags:
  - not-for-all-audiences

About

static quants of https://huggingface.co/TheDrummer/Coomand-R-35B-v1

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Coomand-R-35B-v1-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 13.9
GGUF IQ3_XS 15.2
GGUF IQ3_S 16.0 beats Q3_K*
GGUF Q3_K_S 16.0
GGUF IQ3_M 16.8
GGUF Q3_K_M 17.7 lower quality
GGUF Q3_K_L 19.2
GGUF IQ4_XS 19.4
GGUF Q4_K_S 20.5 fast, recommended
GGUF Q4_K_M 21.6 fast, recommended
GGUF Q5_K_S 24.4
GGUF Q5_K_M 25.1
GGUF Q6_K 28.8 very good quality
GGUF Q8_0 37.3 fast, 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.