metadata
base_model: MiniMaxAI/MiniMax-M2
base_model_relation: quantized
quantized_by: ArtusDev
ArtusDev/MiniMaxAI_MiniMax-M2-EXL3
EXL3 quants of MiniMaxAI/MiniMax-M2 using exllamav3 for quantization.
Quants
| Quant | BPW | Head Bits | Size (GB) |
|---|---|---|---|
| 2.5_H6 | 2.5 | 6 | 73.40 |
| 2.76_H7 | 2.76 | 7 | 80.27 |
| 3.0_H6 | 3.0 | 6 | 87.63 |
| 3.22_H6 | 3.22 | 6 | 93.48 |
| 3.5_H6 | 3.5 | 6 | 101.83 |
| 3.68_H7 | 3.68 | 7 | 106.54 |
| 4.0_H6 | 4.0 | 6 | 116.06 |
| 8.0_H8 | 8.0 | 8 | 229.92 |
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/MiniMaxAI_MiniMax-M2-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.