LLaMA-Pro-8B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.36B |
| License | LLaMA 2 |
| Format | GGUF |
| Author | QuantFactory |
What is LLaMA-Pro-8B-Instruct-GGUF?
LLaMA-Pro-8B-Instruct-GGUF is a quantized version of the TencentARC's LLaMA-Pro-8B-Instruct model, optimized using llama.cpp. This model represents an evolution of the LLaMA2-7B architecture, expanded to 8.3 billion parameters with specialized capabilities in programming, coding, and mathematical reasoning.
Implementation Details
The model leverages innovative block expansion techniques developed by the Tencent ARC team. It has been trained on an extensive dataset comprising over 80 billion tokens, with a particular focus on coding and mathematical content while maintaining strong general language capabilities.
- GGUF optimization for efficient deployment
- Built on LLaMA2 architecture
- Specialized training for technical tasks
Core Capabilities
- Advanced programming and code generation
- Enhanced mathematical reasoning
- General language processing
- Optimized for deployment efficiency
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines the efficiency of GGUF quantization with specialized training for programming and mathematical tasks, while maintaining general language capabilities. Its 8.36B parameter size offers a sweet spot between computational efficiency and performance.
Q: What are the recommended use cases?
The model is particularly well-suited for programming tasks, mathematical problem-solving, and technical documentation generation. It can also handle general language tasks effectively, making it versatile for various applications.
