| --- |
| library_name: mlx |
| tags: |
| - mlx |
| - oq |
| - quantized |
| - benchmark |
| - performance |
| - moe |
| - code |
| - agentic-coding |
| --- |
| |
| # KAT-Coder-V2.5-Dev-oQ2e |
|
|
| This model was quantized using [oQ](https://github.com/jundot/omlx) (oMLX v0.5.4) mixed-precision quantization. |
|
|
| - Base model: [Kwaipilot/KAT-Coder-V2.5-Dev](https://huggingface.co/Kwaipilot/KAT-Coder-V2.5-Dev) |
| - Chat template: [Qwen Fixed Chat Template](https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates) (v21) — fixes KV cache optimization, thinking mode control, tool calling, and agent loop issues. Original backed up as `chat_template.jinja.bak`. |
|
|
| ## Quantization details |
|
|
| - **Model type**: qwen3_5_moe |
| - **Bits**: 2 |
| - **Group size**: 64 |
| - **Format**: MLX safetensors |
| - **Calibration**: oQ2e (enhanced, imatrix-based) |
|
|
| ## Environment |
|
|
| - **Hardware**: M5 MacBook Air 32GB |
| - **Inference Framework**: oMLX v0.5.4 |
| - **Max Concurrent Requests**: 4 |
| - **Settings**: |
| - Thinking: Disabled |
| - TurboQuant KV Cache: Enabled (4-bit) |
|
|
| ## 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 | 1103.1 | 20.35 | 928.3 tok/s | 49.5 tok/s | 3.700 | 311.4 tok/s | 12.62 GB | |
| | pp4096/tg128 | 3794.9 | 21.39 | 1079.3 tok/s | 47.1 tok/s | 6.530 | 646.9 tok/s | 13.34 GB | |
|
|
| ### Continuous Batching (pp1024 / tg128) |
|
|
| | Batch | tg TPS | Speedup | pp TPS | pp TPS/req | TTFT(ms) | E2E(s) | |
| |-------|--------|---------|--------|------------|----------|--------| |
| | 1x | 49.5 tok/s | 1.00x | 928.3 tok/s | 928.3 tok/s | 1103.1 | 3.700 | |
| | 2x | 67.5 tok/s | 1.36x | 836.8 tok/s | 418.4 tok/s | 2447.4 | 6.238 | |
| | 4x | 98.7 tok/s | 1.99x | 825.1 tok/s | 206.3 tok/s | 4822.0 | 10.150 | |
|
|
| ## Intelligence Benchmark |
|
|
| > **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 | 39.5 | No | |
| | TRUTHFULQA | 86.7% | 26 | 30 | 16.3 | No | |
| | GSM8K | 93.3% | 28 | 30 | 99.4 | No | |
| | MATHQA | 20.0% | 6 | 30 | 76.1 | No | |
| | HUMANEVAL | 86.7% | 26 | 30 | 109.7 | No | |
|
|
