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Qwen3.6-35B-A3B-oQ2-mtp
mlx-works/Qwen3.6-35B-A3B-oQ2-mtp
Qwen3.6-35B-A3B-oQ2-mtp is a machine learning model from mlx-works. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx.
This model was quantized using oQ (oMLX v0.5.3) mixed-precision quantization.
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.safetensors13.7 GB · 100%
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U3235.5B · 99%
Model card
From the Hugging Face model README
Qwen3.6-35B-A3B-oQ2-mtp
This model was quantized using oQ (oMLX v0.5.3) mixed-precision quantization.
Base model: Qwen/Qwen3.6-35B-A3B
Chat template: froggeric/Qwen-Fixed-Chat-Templates
Quantization details
- Model type: qwen3_5_moe
- Bits: 2
- Group size: 64
- Format: MLX safetensors
- MTP: Preserved (mtp_num_hidden_layers: 1)
Environment
- Hardware: M5 MacBook Air 32GB
- Inference Framework: oMLX v0.5.3
- Max Concurrent Requests: 4
- Settings:
- Thinking: Disabled
- Chat template parameter: enable_thinking=false (forced)
- TurboQuant KV Cache: Enabled (disable before oMLX v0.5.2.dev1)
- Lightning MTP: Enabled (key speed improvement)
Performance Benchmarks
Note: Results are for reference only and may vary depending on hardware, software configuration, and workload.
Single Request Results
| Test | TTFT(ms) | TPOT(ms) | pp TPS | tg TPS | E2E(s) | Throughput | Peak Mem |
|---|---|---|---|---|---|---|---|
| pp1024/tg128 | 1052.3 | 17.53 | 973.1 tok/s | 57.5 tok/s | 3.288 | 350.4 tok/s | 13.09 GB |
| pp4096/tg128 | 3634.2 | 19.08 | 1127.1 tok/s | 52.8 tok/s | 6.078 | 695.0 tok/s | 13.80 GB |
Continuous Batching (pp1024 / tg128)
| Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) |
|---|---|---|---|---|---|---|
| 1x | 57.5 tok/s | 1.00x | 973.1 tok/s | 973.1 tok/s | 1052.3 | 3.288 |
| 2x | 67.3 tok/s | 1.17x | 882.8 tok/s | 441.4 tok/s | 2319.8 | 6.124 |
| 4x | 101.3 tok/s | 1.76x | 867.5 tok/s | 216.9 tok/s | 4580.2 | 9.776 |
Intelligence Benchmark
Note: Each benchmark round tests only 30 questions. Results are for reference only.
| Benchmark | Accuracy | Correct | Total | Time(s) | Think |
|---|---|---|---|---|---|
| MMLU | 70.0% | 21 | 30 | 43.5 | No |
| TRUTHFULQA | 90.0% | 27 | 30 | 15.9 | No |
| GSM8K | 90.0% | 27 | 30 | 125 | No |
| MATHQA | 36.7% | 11 | 30 | 45.2 | No |
| HUMANEVAL | 80.0% | 24 | 30 | 191.1 | No |
- Library
- mlx
- Type
- qwen3_5_moe
- Created
- Jul 25, 2026
- Updated
- Jul 26, 2026