OpenBMB/ToolBench resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5732 stars · 489 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ToolBench is an open-source platform for training, serving, and evaluating large language models on tool use, built around a large-scale instruction-tuning dataset covering thousands of real-world APIs. It includes the ToolLLaMA fine-tuned model, data generation pipelines, and the ToolEval automatic evaluator with a leaderboard.

Use cases

• train an LLM to call real-world APIs
• evaluate tool-use capabilities of language models
• generate instruction tuning data for function calling
• benchmark my agent against ChatGPT on tool use
• fine-tune an open-source model for tool learning
• compare models on a tool-use leaderboard

When to choose

• you need SFT data or a benchmark for LLM tool/API use
• you want to fine-tune or evaluate open models on function calling
• you need an automatic evaluator (pass rate / win rate) for tool-learning agents

When to avoid

• you only need a production agent framework rather than training/evaluation research tooling
• you cannot access OpenAI APIs or the RapidAPI tool server
• you need a stable offline evaluation environment without setting up StableToolBench separately

Facets

dataset · maturity active

llm-training agent-framework benchmarking rag large-language-models machine-learning python tool-learning instruction-tuning function-calling api-use tooleval toolllama iclr-2024 ai-agents natural-language-processing linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OpenBMB/ToolBench")