Tmax-27B is a terminal agent based on Qwen3.6-27B, trained with DPPO (RL), achieving 43% on Terminal Bench 2.0 and 69% on TB Lite. To run on consumer GPUs, it is quantized using importance-matrix-calibrated GGUF models from 2 to 5 bits per weight, with a grafted MTP head enabling speculative decoding. IQ2_XS at 8.5 GiB achieves 70% pass rate in agentic coding tasks, outperforming plain quantization and demonstrating stable tool-call generation.
Tmax-27B Terminal Agent for Small GPUs with DPPO Training
Benchmarks
| Benchmark | Model | Score |
|---|---|---|
| Terminal-Bench 2 | Tmax-27B | 43% |
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