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metadata
base_model: ConicCat/Mistral-Small-3.2-AntiRep-24B
base_model_relation: quantized
quantized_by: ArtusDev
license: apache-2.0
tags:
  - exl3

EXL3 Quants of ConicCat/Mistral-Small-3.2-AntiRep-24B

EXL3 quants of ConicCat/Mistral-Small-3.2-AntiRep-24B using exllamav3 for quantization.

Quants

Quant(Revision) Bits per Weight 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

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/ConicCat_Mistral-Small-3.2-AntiRep-24B-EXL3 --revision "5.0bpw_H6" --local-dir ./