Qwen3.8-27B-oQ3e-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: 3
  • Group size: 64
  • Format: MLX safetensors
  • MTP: Preserved (mtp_num_hidden_layers: 1)
  • Calibration: oQ3e (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 5195.3 63.23 197.1 tok/s 15.9 tok/s 13.246 87.0 tok/s 13.65 GB
pp4096/tg128 21265.9 68.07 192.6 tok/s 14.8 tok/s 29.956 141.0 tok/s 15.22 GB

Continuous Batching (pp1024 / tg128)

Batch tg TPS Speedup pp TPS pp TPS/req TTFT(ms) E2E(s)
1x 15.9 tok/s 1.00x 197.1 tok/s 197.1 tok/s 5195.3 13.246
2x 15.6 tok/s 0.98x 175.7 tok/s 87.8 tok/s 11654.5 28.022
4x 15.5 tok/s 0.97x 154.5 tok/s 38.6 tok/s 26158.3 59.608

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 30 116.2 No
TRUTHFULQA 86.7% 26 30 39.1 No
GSM8K 96.7% 29 30 743.1 No
MATHQA 33.3% 10 30 219.6 No
HUMANEVAL 90.0% 27 30 748.3 No
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