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ArtusDev/mistralai_Mistral-Small-3.2-24B-Instruct-2506-EXL3
mistralai_Mistral-Small-3.2-24B-Instruct-2506-EXL3 is a image-text-to-text model from ArtusDev. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
EXL3 quants of mistralai/Mistral-Small-3.2-24B-Instruct-2506 using <a href="https://github.com/turboderp-org/exllamav3/"exllamav3</a for quantization.
Downloads · 30 days
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5% of all-time downloads
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.md2.6 KB · 63%
From the Hugging Face model README
EXL3 quants of mistralai/Mistral-Small-3.2-24B-Instruct-2506 using <a href="https://github.com/turboderp-org/exllamav3/">exllamav3</a> for quantization.
Based on the HF conversion of the base 3.2 model by unsloth: unsloth/Mistral-Small-3.2-24B-Instruct-2506
| Quant(Revision) | Bits per Weight | Head Bits |
|---|---|---|
| 2.0_H6 | 2.0 | 6 |
| 2.5_H6 | 2.5 | 6 |
| 3.0_H6 | 3.0 | 6 |
| 3.5_H6 | 3.5 | 6 |
| 4.0_H6 | 4.0 | 6 |
| 4.5_H6 | 4.5 | 6 |
| 5.0_H6 | 5.0 | 6 |
| 5.5_H8 | 5.5 | 8 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H6 | 8.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
Install hugginface-cli:
pip install -U "huggingface_hub[cli]"
Download quant by targeting the specific quant revision (branch):
huggingface-cli download ArtusDev/mistralai_Mistral-Small-3.2-24B-Instruct-2506-EXL3 --revision "5.0bpw_H6" --local-dir ./
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