---
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 |