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Qwen3.8-27B-oQ2e-mtp
mlx-works/Qwen3.8-27B-oQ2e-mtp
Qwen3.8-27B-oQ2e-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 v0.5.7) mixed-precision quantization.
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.safetensors11.6 GB · 100%
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How the weights are stored.
U3227.3B · 98%
Model card
From the Hugging Face model README
Qwen3.8-27B-oQ2e-mtp
This model was quantized using oQ (oMLX v0.5.7) mixed-precision quantization.
Base model: Qwen/Qwen3.8-27B
Chat template: froggeric/Qwen-Fixed-Chat-Templates
Quantization details
- Model type: qwen3_5
- Bits: 2
- Group size: 64
- Format: MLX safetensors
- MTP: Preserved (mtp_num_hidden_layers: 1)
- Calibration: oQ2e (enhanced, imatrix-based; oqe_code_multilingual)
Environment
- Hardware: M5 MacBook Air 32GB
- Inference Framework: oMLX v0.5.7
- Max Concurrent Requests: 4
- Settings:
- Thinking: Disabled
- TurboQuant KV Cache: Enabled (4-bit)
- 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 | 6074.9 | 67.08 | 168.6 tok/s | 15.0 tok/s | 14.615 | 78.8 tok/s | 11.71 GB |
| pp4096/tg128 | 44281.6 | 96.54 | 92.5 tok/s | 10.4 tok/s | 56.590 | 74.6 tok/s | 13.21 GB |
Continuous Batching (pp1024 / tg128)
| Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) |
|---|---|---|---|---|---|---|
| 1x | 15.0 tok/s | 1.00x | 168.6 tok/s | 168.6 tok/s | 6074.9 | 14.615 |
| 2x | 11.2 tok/s | 0.75x | 142.4 tok/s | 71.2 tok/s | 14382.5 | 37.157 |
| 4x | 13.1 tok/s | 0.87x | 129.4 tok/s | 32.4 tok/s | 31210.7 | 70.791 |
Intelligence Benchmark
Note: Each benchmark round tests only 30 questions. Results are for reference only.
| Benchmark | Accuracy | Correct | Total | Time(s) | Think |
|---|---|---|---|---|---|
| MMLU | 56.7% | 17 | 30 | 189.5 | No |
| TRUTHFULQA | 63.3% | 19 | 30 | 77.2 | No |
| GSM8K | 80.0% | 24 | 30 | 649.4 | No |
| MATHQA | 23.3% | 7 | 30 | 396.5 | No |
| HUMANEVAL | 83.3% | 25 | 30 | 1468.4 | No |
- Library
- mlx
- Type
- qwen3_5
- Created
- Aug 15, 2026
- Updated
- Aug 16, 2026