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mradermacher/code-stral-AB-GGUF
code-stral-AB-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
static quants of https://huggingface.co/simplyinquisitive/code-stral-AB
Downloads · 30 days
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From the Hugging Face model README
static quants of https://huggingface.co/simplyinquisitive/code-stral-AB
<!-- provided-files -->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.
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.
(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 | 7.5 | |
| GGUF | IQ3_XS | 8.3 | |
| GGUF | Q3_K_S | 8.7 | |
| GGUF | IQ3_S | 8.7 | beats Q3_K* |
| GGUF | IQ3_M | 9.0 | |
| GGUF | Q3_K_M | 9.7 | lower quality |
| GGUF | Q3_K_L | 10.5 | |
| GGUF | IQ4_XS | 10.8 | |
| GGUF | Q4_K_S | 11.4 | fast, recommended |
| GGUF | Q4_K_M | 12.0 | fast, recommended |
| GGUF | Q5_K_S | 13.7 | |
| GGUF | Q5_K_M | 14.1 | |
| GGUF | Q6_K | 16.3 | very good quality |
| GGUF | Q8_0 | 21.1 | 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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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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