Qwen3.5
Collection
4 items • Updated
How to use mlx-works/Qwen3.5-35B-A3B-oQ3-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.5-35B-A3B-oQ3-mtp mlx-works/Qwen3.5-35B-A3B-oQ3-mtp
This model was quantized using oQ (oMLX v0.5.2.dev1) mixed-precision quantization.
Base model: Qwen/Qwen3.5-35B-A3B
Chat template: froggeric/Qwen-Fixed-Chat-Templates
Note: Results are for reference only and may vary depending on hardware, software configuration, and workload.
| Test | TTFT(ms) | TPOT(ms) | pp TPS | tg TPS | E2E(s) | Throughput | Peak Mem |
|---|---|---|---|---|---|---|---|
| pp1024/tg128 | 1079.9 | 18.31 | 948.3 tok/s | 55.0 tok/s | 3.417 | 337.1 tok/s | 16.45 GB |
| pp4096/tg128 | 3709.2 | 28.43 | 1104.3 tok/s | 35.5 tok/s | 7.346 | 575.0 tok/s | 17.18 GB |
| Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) |
|---|---|---|---|---|---|---|
| 1x | 55.0 tok/s | 1.00x | 948.3 tok/s | 948.3 tok/s | 1079.9 | 3.417 |
| 2x | 70.0 tok/s | 1.27x | 865.9 tok/s | 432.9 tok/s | 2364.9 | 6.022 |
| 4x | 98.8 tok/s | 1.80x | 871.2 tok/s | 217.8 tok/s | 4559.2 | 9.884 |
Note: Each benchmark round tests only 30 questions. Results are for reference only.
| Benchmark | Accuracy | Correct | Total | Time(s) | Think |
|---|---|---|---|---|---|
| MMLU | 73.3% | 22 | 30 | 31.7 | No |
| TRUTHFULQA | 83.3% | 25 | 30 | 18.6 | No |
| GSM8K | 96.7% | 29 | 30 | 162.8 | No |
| MATHQA | 46.7% | 14 | 30 | 25.6 | No |
| HUMANEVAL | 86.7% | 26 | 30 | 142.9 | No |
3-bit