metadata
base_model: mistralai/Magistral-Small-2509
base_model_relation: quantized
quantized_by: ArtusDev
language:
- en
- fr
- de
- es
- pt
- it
- ja
- ko
- ru
- zh
- ar
- fa
- id
- ms
- ne
- pl
- ro
- sr
- sv
- tr
- uk
- vi
- hi
- bn
license: apache-2.0
tags:
- vllm
- mistral-common
- exl3
ArtusDev/mistralai_Magistral-Small-2509-EXL3
EXL3 quants of mistralai/Magistral-Small-2509 using exllamav3 for quantization.
Based on the HF conversion of the base Magistral model by @unsloth: unsloth/Magistral-Small-2509.
Quants
| Quant | BPW | Head Bits |
|---|---|---|
| 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 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
How to Download and Use Quants
You can download quants by targeting specific size using the Hugging Face CLI.
Click for download commands
1. Install huggingface-cli:
pip install -U "huggingface_hub[cli]"huggingface-cli download ArtusDev/mistralai_Magistral-Small-2509-EXL3 --revision "5.0bpw_H6" --local-dir ./EXL3 quants can be run with any inference client that supports EXL3, such as TabbyAPI. Refer to documentation for set up instructions.