Tmax-9B-GGUF

Direct GGUF Quantizations of Tmax-9B

This repository provides GGUF quantized models for allenai/tmax-9b.

Tmax-9B is a 9 billion parameter terminal-agent model developed by AllenAI and collaborators. Built on top of the Qwen3.5-9B architecture and further trained using reinforcement learning for terminal-based tasks, it is designed to perform complex command-line and software engineering workflows while maintaining strong general-purpose reasoning capabilities. These GGUF versions are optimized for efficient CPU and GPU inference using llama.cpp and compatible tools.

This release includes various quantization levels (e.g., Q2_K, Q3_K_M, Q4_K_M, Q5_K_M, Q6_K, Q8_0) to suit different hardware capabilities and performance requirements.

Table of Contents 📝

1. ▶ Usage
2. 📃 License
3. 🙏 Acknowledgements

pip install "huggingface_hub[cli]"
huggingface-cli download samuelchristlie/tmax-9B-gguf --local-dir ./tmax-9B-gguf

You can also download directly from this page

2. Inference

To use these GGUF files, you'll need a compatible inference engine like llama.cpp or clients built on top of it (e.g., Ollama, LM Studio, KoboldCpp, text-generation-webui with llama.cpp backend).

• Allen Institute for AI (AI2) and collaborators for developing and open-sourcing the Tmax-9B model:

  • https://huggingface.co/allenai/tmax-9b

• Qwen Team for the Qwen3.5-9B base model that powers Tmax-9B:

  • https://huggingface.co/Qwen/Qwen3.5-9B

• The llama.cpp project and its contributors for the GGUF format and the incredible tooling that makes local LLM inference accessible.

  • https://github.com/ggml-org/llama.cpp

• city96:

  • https://huggingface.co/city96