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):
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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Model tree for mradermacher/CodeRosa-70B-AB1-GGUF
Base model
altomek/CodeRosa-70B-AB1