THUDM/AgentTuning resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1504 stars · 104 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AgentTuning is a research project from Tsinghua University that instruction-tunes LLMs on multi-task agent interaction trajectories to improve their agent abilities. It releases the AgentInstruct dataset (1,866 filtered GPT-4 trajectories across 6 tasks) and the AgentLM-7B/13B/70B models fine-tuned from Llama 2.

Use cases

• fine-tune an open-source LLM to act as an agent
• get training data of agent interaction trajectories
• improve tool-use and planning abilities of Llama 2 models
• find an open alternative to GPT-3.5 for agent tasks
• download AgentInstruct dataset for agent instruction tuning
• evaluate open LLMs on held-in and held-out agent benchmarks

When to choose

• you need an open-weight LLM with stronger agent/tool-use capabilities
• you want a curated instruction-tuning dataset of agent trajectories
• you are researching how instruction tuning affects agent generalization

When to avoid

• you need a production-ready agent framework rather than models and data
• you cannot host or fine-tune large models on GPUs
• you need a permissively licensed artifact - the repo has no license

Facets

dataset · maturity maintenance

llm-training agent-framework machine-learning data-generation large-language-models machine-learning python instruction-tuning agent-trajectories llama2 huggingface research agentlm agentinstruct fine-tuning ai-agents natural-language-processing gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="THUDM/AgentTuning")