Hugging Face Overview
Llama-3-Groq-8B-Tool-Use: Optimized for Function Calling
This model is the 8 billion parameter version of the Llama 3 Groq Tool Use series, specifically engineered for robust tool use and function calling. It leverages a fine-tuned Llama 3 8B base model, incorporating full fine-tuning and Direct Preference Optimization (DPO) to enhance its ability to interact with external tools and APIs.
Key Capabilities
- Advanced Tool Use: Designed to excel in scenarios requiring API interactions and structured data manipulation.
- Function Calling: Highly proficient in interpreting user queries and generating appropriate function calls.
- Leading Performance: Achieves an 89.06% overall accuracy on the Berkeley Function Calling Leaderboard (BFCL), positioning it as the top-performing open-source 8B LLM for function calling.
- Text-to-Text Generation: Processes text input to produce text output, with a focus on structured responses for tool integration.
Ideal Use Cases
- API Integration: Building applications that require seamless interaction with various APIs.
- Structured Data Manipulation: Tasks involving parsing and generating structured data through function calls.
- Research & Development: Exploring advanced function calling and tool use paradigms in LLMs.
Users should note that while highly effective for tool use, general-purpose language models may be more suitable for broad knowledge or open-ended conversational tasks. The model's performance is sensitive to sampling configurations; starting with temperature=0.5 and top_p=0.65 is recommended.