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Model: allenai/tmax-sft-8b Source: Original Platform
2026-07-28 20:04:09 +08:00
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+---
+license: apache-2.0
+datasets:
+- allenai/tmax-sft
+base_model:
+- Qwen/Qwen3-8B
+---
+![image](https://cdn-uploads.huggingface.co/production/uploads/62608fc2ffe8827cb1d89f9f/XMW9_q0GCubxzTOgdsb4K.png)
+<p align="center">
+  💻 <a href="https://github.com/hamishivi/tmax">Code</a> ·
+  🤗 <a href="https://huggingface.co/collections/allenai/tmax">Models &amp; Data</a> ·
+  📜 <a href="https://arxiv.org/abs/2606.23321">Paper</a> ·
+  📓 <a href="https://wai-org.com/blog/tmax/">Blog</a>
+</p>
+
+> [!NOTE]
+> For full information, go check out the Tmax paper [here](https://arxiv.org/abs/2606.23321).
+
+# TMax 8B
+
+TMax 8B is a model trained using SFT on top of Qwen 3 8B for use as a terminal-agent.
+It was used as a base for the RL training of [Tmax 8B](https://huggingface.co/allenai/tmax-8b).
+
+This model is part of [a collection of terminal agents](https://huggingface.co/collections/allenai/tmax) in various sizes.
+
+
+## Evaluation Results
+
+| Model        | TB Lite | TB 2.1   |
+|--------------|---------|----------|
+| [Qwen 3 8B](https://huggingface.co/Qwen/Qwen3-8B)    | 7.3 +/- 1.0 | 1.1 +/- 0.9 |
+| [Tmax SFT 8B](https://huggingface.co/allenai/tmax-sft-8b) **(this model!)** | 11.5 +/- 0.1 | **6.0 +/- 1.4** |
+| [Tmax 8B](https://huggingface.co/allenai/tmax-8b) | **17.7 +/- 1.9** | 5.2 +/- 2.3 |
+
+
+
+For details on evaluation methodology please check our paper. In general, we used a podman (docker) backend with default timeouts and custom harness similar to mini-swe-agent.
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+- **Developed by:** Ai2
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Finetuned from model:** Qwen 3 8B
+- **Dataset:** [TMax-15k](https://huggingface.co/datasets/allenai/tmax-15k-open-instruct)
+
+
+### Use
+
+To use this model, we recommend serving with vllm (or your inference framework of choice) with:
+```bash
+uvx vllm==0.19.1 serve allenai/tmax-8b \
+  --served-model-name tmax-8b \
+  --enable-auto-tool-choice \
+  --tool-call-parser qwen3_xml \
+  --port 8008 \
+  --max-model-len 40960 \
+  --tensor-parallel-size 8 \
+  --language_model_only
+```
+
+Make sure to set `language_model_only` as we removed the vision head during training.
+
+For more details on evaluation, please see [our codebase](https://github.com/hamishivi/tmax).
+
+### Hyperparameters
+
+This model was trained using SFT with the following hyperparameters:
+- **base model**: [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B)
+- **Dataset**: [tmax SFT](https://huggingface.co/datasets/allenai/tmax-sft)
+- **Max overall tokens**: 32768
+- **Global train batch size**: 128
+- **Epochs**: 2
+- **Learning rate**: 2e-5
+- **LR scheduler**: 0.03% warmup, linear cooldown
+
+For more details on training, please see [our codebase](https://github.com/hamishivi/tmax).
+
+## License
+
+This model is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2's [Responsible Use Guidelines](https://allenai.org/responsible-use). 
+
+## Citation
+
+If you use our model or data, please cite our paper:
+```
+@misc{ivison2026tmaxsimplerecipeterminal,
+      title={Tmax: A simple recipe for terminal agents}, 
+      author={Hamish Ivison and Junjie Oscar Yin and Rulin Shao and Teng Xiao and Nathan Lambert and Hannaneh Hajishirzi},
+      year={2026},
+      eprint={2606.23321},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2606.23321}, 
+}
+```
+