NOTICE
No longer available on HF due to storage restrictions
INFORMATION
See DeepSeek-V3.2 5.5bit MLX in action - demonstration video
q5.5bit quant typically achieves 1.141 perplexity in our testing
| 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
M3 Ultra 512GB RAM using Inferencer app v1.7.3
- Expect ~16.5 tokens/s @ 1000 tokens
- Memory usage: ~450 GB
- For a larger context window (>11k tokens) you can expand the RAM limit:
sudo sysctl iogpu.wired_limit_mb=507000
- For a larger context window (>11k tokens) you can expand the RAM limit:
M3 Ultra 512GB RAM connected to MBP 128GB RAM using Inferencer app v1.7.3 with LAN distributed compute
- Expect ~13.7 tokens/s @ 1000 tokens
- Example memory usage: MBP ~20GB + Mac Studio ~430GB
- More RAM available for larger context window using this method
Quantized with a modified version of MLX 0.28
For more details see demonstration video or visit DeepSeek-V3.2.
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.
Model tree for inferencerlabs/DeepSeek-V3.2-MLX-5.5bit
Base model
deepseek-ai/DeepSeek-V3.2-Exp-Base Finetuned
deepseek-ai/DeepSeek-V3.2