metadata
base_model: mistralai/Mistral-Small-3.2-24B-Instruct-2506
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
pipeline_tag: image-text-to-text
tags:
- exl3
EXL3 Quants of mistralai/Mistral-Small-3.2-24B-Instruct-2506
EXL3 quants of mistralai/Mistral-Small-3.2-24B-Instruct-2506 using exllamav3 for quantization.
Based on the HF conversion of the base 3.2 model by unsloth: unsloth/Mistral-Small-3.2-24B-Instruct-2506
Quants
| 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 |
Downloading quants with huggingface-cli
Click to view download instructions
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 ./