See Kimi-K2-Thinking 4.25bit MLX in action - demonstration video
q4.25bit quant perplexity TBA, but q4.5bit quant typically achieves 1.168 perplexity in our testing
| Quantization | Perplexity |
|---|---|
| q2.5 | 41.293 |
| q3.5 | 1.900 |
| q3.95 | 1.243 |
| q4.25 | TBA |
| q4.5 | 1.168 |
| q6.5 | 1.128 |
| q8.5 | 1.128 |
Usage Notes
- Tested on a M3 Ultra 512GB RAM connected to MBP 128GB RAM using Inferencer app v1.6 with distributed compute
- For more information on the distributed compute feature see: github.com/inferencer/issues/31
- Memory usage: MBP ~80GB + Mac Studio ~450GB
- Expect ~22 tokens/s @ 1000 tokens
- Quantized with a modified version of MLX 0.28
- For more details see demonstration video or visit Kimi-K2-Thinking.
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.
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