inferencerlabs/Kimi-K2-Instruct-0905-MLX-3.824bit

See Kimi-K2-Instruct-0905 Dynamic MLX in action - https://youtu.be/Ia-q3Ll4tAY

q3.824bit dynamic quant typically achieves 1.256 perplexity in our testing, slotting closer to q4 perplexity (1.168) than q3 perplexity (1.900).

Quantization	Perplexity
q2	41.293
q3	1.900
q3.824	1.256
q3.985	1.243
q4	1.168
q5	1.141
q6	1.128
q8	1.128

Usage Notes

• Runs on a single M3 Ultra 512GB RAM using Inferencer app
• Does not require expanding VRAM limit
  • However expanding it will allow you to use larger context windows:
  • sudo sysctl iogpu.wired_limit_mb=507000
• Expect ~20 tokens/s
• Quantized with a modified version of MLX 0.26
• For more details see demonstration video or visit Kimi K2.

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.