--- language: en tags: - quantized - mlx base_model: - stepfun-ai/Step-3.7-Flash base_model_relation: quantized library_name: mlx pipeline_tag: image-text-to-text --- # Step-3.7-Flash-9bit See Step-3.7-Flash in action: [demonstration videos](https://youtube.com/xcreate) #### Tested with an M3 Ultra 512 GiB using [Inferencer app v1.11.7](https://inferencer.com) - Text Inference: ~36.1 tokens/s @ 1000 tokens ~206 GiB - Vision Inference: ~31.4 tokens/s ~210.3 GiB
Q9 typically achieves near lossless accuracy in our coding test 
| Quantization (bpw) | Perplexity | Token Accuracy | Missed Divergence |
|---|---|---|---|
| q4.5 | 1.32812 | 90.5% | 26.44% |
| q5.5 | 1.23437 | 95.4% | 16.03% |
| q6.5 | 1.21875 | 96.85% | 12.55% |
| q8.5 | 1.21875 | 97.65% | 9.92% |
| q9 | 1.21093 | 97.95% | 9.61% |
| Base | 1.20312 | 100.0% | 0.000% |