Downloads · 30 days
124
11% of all-time downloads
Qwen3.8-27B-oQ4e-mtp
mlx-works/Qwen3.8-27B-oQ4e-mtp
Qwen3.8-27B-oQ4e-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.
All-time downloads
1.1K
Public
Parameters
27.8B
17 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.safetensors17 GB · 100%
Parameter types
How the weights are stored.
U3227.3B · 98%
Model card
From the Hugging Face model README
Qwen3.8-27B-oQ4e-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: 4
- Group size: 64
- Format: MLX safetensors
- MTP: Preserved (mtp_num_hidden_layers: 1)
- Calibration: oQ4e (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 | 5219.3 | 53.59 | 196.2 tok/s | 18.8 tok/s | 12.054 | 95.6 tok/s | 16.62 GB |
| pp4096/tg128 | 21245.1 | 68.21 | 192.8 tok/s | 14.8 tok/s | 29.957 | 141.0 tok/s | 18.19 GB |
Continuous Batching (pp1024 / tg128)
| Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) |
|---|---|---|---|---|---|---|
| 1x | 18.8 tok/s | 1.00x | 196.2 tok/s | 196.2 tok/s | 5219.3 | 12.054 |
| 2x | 14.0 tok/s | 0.74x | 172.2 tok/s | 86.1 tok/s | 11894.9 | 30.238 |
| 4x | 11.4 tok/s | 0.61x | 135.4 tok/s | 33.9 tok/s | 29810.5 | 75.007 |
Intelligence Benchmark
Note: Each benchmark round tests only 30 questions. Results are for reference only.
| Benchmark | Accuracy | Correct | Total | Time(s) | Think |
|---|---|---|---|---|---|
| MMLU | 76.7% | 23 | 30 | 164.5 | No |
| TRUTHFULQA | 90.0% | 27 | 30 | 67.6 | No |
| GSM8K | 96.7% | 29 | 30 | 1128.3 | No |
| MATHQA | 46.7% | 14 | 30 | 73.4 | No |
| HUMANEVAL | 93.3% | 28 | 30 | 526.1 | No |
- Library
- mlx
- Type
- qwen3_5
- Created
- Aug 16, 2026
- Updated
- Aug 16, 2026