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metadata
base_model: altomek/CodeRosa-70B-AB1
language:
  - en
library_name: transformers
license: llama2
quantized_by: mradermacher
tags:
  - merge

About

static quants of https://huggingface.co/altomek/CodeRosa-70B-AB1

altomek (creator of this model) thinks GGUF versions of his model are very bad compared to the original model (especially on the emotional level). Exllama seems less affected, but also not well, so you should use the original model before forming an opinion. Also, check the original model page for the recommended prompt format.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 25.9
GGUF IQ3_XS 28.6
GGUF IQ3_S 30.3 beats Q3_K*
GGUF Q3_K_S 30.3
GGUF IQ3_M 31.4
GGUF Q3_K_M 33.7 lower quality
GGUF Q3_K_L 36.6
GGUF IQ4_XS 37.6
GGUF Q4_K_S 39.7 fast, recommended
GGUF Q4_K_M 41.8 fast, recommended
GGUF Q5_K_S 47.9
GGUF Q5_K_M 49.2
PART 1 PART 2 Q6_K 57.0 very good quality
PART 1 PART 2 Q8_0 73.6 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.