FireFunction v2 GGUF
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| License | Llama 3 |
| Format | GGUF (Multiple Quantization Options) |
| Base Model | Llama 3 |
What is firefunction-v2-GGUF?
FireFunction v2 GGUF is a state-of-the-art function calling model that represents a significant advancement in AI function handling capabilities. Built on the Llama 3 architecture and converted to the efficient GGUF format, it offers competitive performance with GPT-4, scoring 0.81 vs 0.80 on public evaluations, while maintaining strong conversational abilities.
Implementation Details
The model comes in various quantization options (2-bit to 8-bit precision) to accommodate different hardware configurations and performance requirements. It's compatible with multiple platforms including llama.cpp, LM Studio, and text-generation-webui, making it highly accessible for different deployment scenarios.
- Multiple quantization options (2-bit to 8-bit)
- GGUF format optimization for efficient deployment
- Parallel function calling support
- Enhanced instruction-following capabilities
Core Capabilities
- Function calling performance comparable to GPT-4
- Strong conversational abilities (0.84 on MT bench)
- Parallel function execution
- Improved efficiency over v1 with 2x speed improvement
- Commercial viability with Llama 3 license
Frequently Asked Questions
Q: What makes this model unique?
The model combines state-of-the-art function calling capabilities with the robust foundation of Llama 3, offering performance comparable to GPT-4 at a fraction of the cost (< 10%) and double the speed.
Q: What are the recommended use cases?
The model excels in applications requiring function calling, API interactions, and structured data processing while maintaining strong conversational capabilities. It's particularly suitable for commercial applications requiring reliable function execution with cost-effective deployment.
