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ArtusDev/
MiniMaxAI_MiniMax-M2-EXL3

Name: MiniMaxAI_MiniMax-M2-EXL3
Rating: 2.5 (19 reviews)

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ArtusDev/MiniMaxAI_MiniMax-M2-EXL3

EXL3 quants of MiniMaxAI/MiniMax-M2 using exllamav3 for quantization.

⚠️ Requires ExLlamaV3 v0.0.12. ⚠️

Quant	BPW	Head Bits	Size (GB)
1.0_H6	1.0	6	30.8
1.09_H6 (optimized)	1.09	6	32.8
1.49_H6 (optimized)	1.49	6	44.0
2.0_H6	2.0	6	59.2
2.39_H6 (optimized)	2.39	6	59.2
2.5_H6	2.5	6	73.40
2.76_H7 (optimized)	2.76	7	80.27
3.0_H6	3.0	6	87.63
3.22_H6 (optimized)	3.22	6	93.48
3.5_H6	3.5	6	101.83
3.68_H7 (optimized)	3.68	7	106.54
4.0_H6	4.0	6	116.06
4.25_H6	4.25	6	123.16
5.0_H6	5.0	6	144.1
6.0_H6	6.0	6	173.22
8.0_H8	8.0	8	229.92

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]"

2. Download a specific quant:

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.

See EXL community hub for request guidelines.

Made possible with cloud compute from lium.io