Llama-3-Groq-8B-Tool-Use
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| License | Meta Llama 3 Community License |
| Base Model | meta-llama/Meta-Llama-3-8B |
| Tensor Type | BF16 |
What is Llama-3-Groq-8B-Tool-Use?
Llama-3-Groq-8B-Tool-Use is a specialized version of Meta's Llama 3 model, fine-tuned specifically for tool use and function calling tasks. With 8.03 billion parameters, this model achieves an impressive 89.06% accuracy on the Berkeley Function Calling Leaderboard (BFCL), making it the top performer among open-source 8B models.
Implementation Details
The model leverages an optimized transformer architecture and has undergone full fine-tuning and Direct Preference Optimization (DPO) on the Llama 3 8B base model. It's designed to excel at tasks involving API interactions, structured data manipulation, and complex tool use scenarios.
- Optimized for tool use and function calling
- Built on Meta's Llama 3 architecture
- Uses BF16 tensor type for efficient computation
- Implements advanced sampling with recommended temperature=0.5 and top_p=0.65
Core Capabilities
- Advanced function calling with structured output
- API interaction handling
- Structured data manipulation
- Complex tool use scenarios
- English language processing
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on tool use and function calling, achieving the highest accuracy (89.06%) among 8B parameter models on the Berkeley Function Calling Leaderboard. It's specifically optimized for structured interactions and API handling.
Q: What are the recommended use cases?
The model is best suited for research and development scenarios involving API interactions, structured data manipulation, and complex tool use. It's particularly effective when precise function calling and tool interaction are required, though users should implement appropriate safety measures for their specific use cases.
