Trelis/Llama-2-7b-chat-hf-function-calling-v3
The Trelis/Llama-2-7b-chat-hf-function-calling-v3 is a 7 billion parameter Llama 2 Chat model, fine-tuned specifically for function calling. It utilizes the same function metadata format as OpenAI, enabling seamless integration for developers. This model is optimized for commercial use, providing robust capabilities for applications requiring structured tool use and API interaction.
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Trelis/Llama-2-7b-chat-hf-function-calling-v3 Overview
This model is a 7 billion parameter variant of the Llama 2 Chat architecture, specifically fine-tuned by Trelis for advanced function calling capabilities. It is designed to interpret natural language requests and translate them into structured function calls, using a metadata format consistent with OpenAI's specifications. This makes it highly suitable for integrating with external tools and APIs.
Key Capabilities
- Function Calling: Excels at identifying and generating appropriate function calls based on user prompts.
- OpenAI-compatible Metadata: Uses the same function metadata format as OpenAI, simplifying integration for developers familiar with that ecosystem.
- Commercial Use: Licensed under the Llama 2 Community license, making it suitable for commercial applications.
- Chat Optimization: Built upon the Llama 2 Chat model, retaining its conversational strengths while adding tool-use proficiency.
Good For
- Developers building applications that require LLMs to interact with external systems or APIs.
- Creating intelligent agents that can perform actions by calling predefined functions.
- Use cases demanding a Llama 2-based model with robust and standardized function calling.
For more details on the underlying Llama 2 model, refer to the Llama 2 research paper.