Gorilla OpenFunctions v2
Property | Value |
---|---|
Parameter Count | 7B |
Base Model | DeepSeek Coder |
License | Apache 2.0 |
Accuracy | 83.67% |
What is gorilla-openfunctions-v2?
Gorilla OpenFunctions v2 is a cutting-edge language model specifically designed for function calling tasks. Built on the DeepSeek Coder architecture, it achieves performance comparable to GPT-4 while being completely open-source. The model excels at converting natural language instructions into executable API calls across multiple programming languages and frameworks.
Implementation Details
The model leverages a 7B parameter architecture and introduces sophisticated capabilities for handling complex function calling scenarios. It's particularly notable for its ability to process multiple function calls in parallel and maintain high accuracy across different programming paradigms.
- Built on DeepSeek Coder 7B architecture
- Achieves 83.67% overall accuracy on the Berkeley Function Calling Leaderboard
- Supports multiple programming languages including Python, Java, and JavaScript
- Implements OpenAI-compatible function calling interface
Core Capabilities
- Multiple function selection and execution
- Parallel function calling with different parameter values
- Combined multiple & parallel execution in single completion
- Advanced relevance detection for appropriate function selection
- Comprehensive datatype support across Python, Java, and JavaScript
- Native REST API support
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to match GPT-4's performance while being open-source, combined with its extensive language support and parallel function execution capabilities, sets it apart from other function-calling models.
Q: What are the recommended use cases?
The model is ideal for API automation, code generation, and system integration tasks where natural language needs to be converted into executable function calls. It's particularly useful in scenarios requiring multi-language support or parallel function execution.