metadata
license: mit
library_name: mlx
base_model: deepseek-ai/DeepSeek-V3.1
tags:
- mlx
pipeline_tag: text-generation
See DeepSeek-V3.1 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
- Runs on a single M3 Ultra 512GB RAM using Inferencer app
- Memory usage: ~480 GB
- Expect ~13-19 tokens/s
- Quantized with a modified version of MLX 0.26
- For more details see demonstration video or visit DeepSeek-V3.1.
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.