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gorilla

ShishirPatil/gorilla

Training and Evaluating LLMs for Function Calls (Tool Calls)

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Python Apache-2.0Created May 19, 2023

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Maintenance: Steady (89d since push); As of today · Source: github_public_v1
Provenance: Not a fork · Personal account; As of today · Source: github_public_v1
Security (OSV): No lockfile; As of today · Source: none

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Overview

A toolset for training and evaluating large language models with functions calls or tool usages.

Capability facts

Languages: python
Source: github.language · Jul 11, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 11, 2026)

```python import openai

Source link

README

Quick Start

Try Gorilla in your browser:

🚀 Gorilla Colab Demo: Try the base Gorilla model
🌐 Gorilla Gradio Demo: Interactive web interface
🔥 OpenFunctions Colab Demo: Try the latest OpenFunctions model
🎯 OpenFunctions Website Demo: Experiment with function calling
📊 Berkeley Function Calling Leaderboard: Compare function calling capabilities

Installation Options

Gorilla CLI - Fastest way to get started

pip install gorilla-cli
gorilla generate 100 random characters into a file called test.txt

Learn more about Gorilla CLI →

Run Gorilla Locally

git clone https://github.com/ShishirPatil/gorilla.git
cd gorilla/inference

Detailed local setup instructions →

Use OpenFunctions

import openai

openai.api_key = "EMPTY"
openai.api_base = "http://luigi.millennium.berkeley.edu:8000/v1"

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## License

Gorilla is Apache 2.0 licensed, making it suitable for both academic and commercial use.