Gorilla OpenFunctions v1
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Author | gorilla-llm |
| Framework | PyTorch |
| Tags | Text Generation, Transformers, PyTorch, llama |
What is gorilla-openfunctions-v1?
Gorilla OpenFunctions v1 is an advanced language model that extends LLM Chat Completion capabilities by converting natural language instructions into executable API calls. This model represents an evolution from its predecessor (v0) by introducing support for parallel functions and the ability to choose between multiple functions.
Implementation Details
The model is built on PyTorch and implements the Transformers architecture. It can be deployed both through hosted services and locally, offering flexibility in implementation. The model is compatible with OpenAI's function calling format and can be easily integrated using standard API calls.
- Built on PyTorch framework with transformer architecture
- Supports both CPU and CUDA acceleration
- Implements float16 precision when GPU is available
- Compatible with OpenAI's function calling format
Core Capabilities
- Converts natural language to executable API calls
- Supports parallel function execution
- Can intelligently choose between multiple available functions
- Handles complex parameter formatting and validation
- Provides structured JSON outputs for API interactions
Frequently Asked Questions
Q: What makes this model unique?
This model's ability to handle parallel functions and make intelligent choices between multiple function options sets it apart from similar models. It's specifically designed for translating natural language into structured API calls, making it invaluable for automation and integration tasks.
Q: What are the recommended use cases?
The model is ideal for scenarios requiring natural language to API conversion, such as building chatbots that can make API calls, creating automated workflow systems, and developing natural language interfaces for existing APIs. It's particularly useful in situations where multiple API options need to be evaluated and chosen from.
