inferencerlabs/MiniMax-M2-MLX-6.5bit

See MiniMax-M2 6.5bit MLX in action - demonstration video

q6.5bit quant typically achieves 1.128 perplexity in our testing which is equivalent to q8.

Quantization	Perplexity
q2.5	41.293
q3.5	1.900
q4.5	1.168
q5.5	1.141
q6.5	1.128
q8.5	1.128

Usage Notes

• Tested on a MacBook Pro connecting to a M3 Ultra 512GB RAM over the internet using Inferencer app v1.5.4
• Memory usage: ~175 GB
• Expect 42 tokens/s for small contexts (200 tokens) down to 12 token/s for large (6800 tokens) Note: Performance has been improved since original tests by 16.7% see: github.com/inferencer/issues/46
• Quantized with a modified version of MLX 0.28
• For more details see demonstration video or visit MiniMax-M2.

Disclaimer

We are not the creator, originator, or owner of any model listed. Each model is created and provided by third parties. Models may not always be accurate or contextually appropriate. You are responsible for verifying the information before making important decisions. We are not liable for any damages, losses, or issues arising from its use, including data loss or inaccuracies in AI-generated content.