EAGLE3-LLaMA3.3-Instruct-70B
| Property | Value |
|---|---|
| Parameter Count | 70 Billion |
| Model Type | Instruction-tuned Language Model |
| Architecture | LLaMA-based |
| Developer | yuhuili |
| Model URL | HuggingFace/yuhuili/EAGLE3-LLaMA3.3-Instruct-70B |
What is EAGLE3-LLaMA3.3-Instruct-70B?
EAGLE3-LLaMA3.3-Instruct-70B represents the third iteration in the EAGLE series, built upon the LLaMA 3.3 architecture. This large language model, featuring 70 billion parameters, is specifically designed for instruction-following tasks and advanced natural language processing applications.
Implementation Details
The model builds upon the successful LLaMA architecture, incorporating improvements and optimizations from previous EAGLE iterations. It's specifically tuned for instruction-following scenarios, making it particularly suitable for complex language understanding and generation tasks.
- Built on LLaMA 3.3 architecture
- 70B parameter size for enhanced capacity
- Instruction-tuned for better task alignment
- Optimized for production deployment
Core Capabilities
- Advanced instruction following and task completion
- Enhanced natural language understanding
- Improved context handling and response generation
- Suitable for complex language processing tasks
Frequently Asked Questions
Q: What makes this model unique?
EAGLE3-LLaMA3.3-Instruct-70B stands out due to its large parameter count and specific optimization for instruction-following tasks, building upon the proven LLaMA architecture while incorporating improvements from previous EAGLE iterations.
Q: What are the recommended use cases?
This model is particularly well-suited for applications requiring advanced instruction following, complex language understanding, and generation tasks. It can be effectively used in chatbots, content generation, and other NLP applications requiring sophisticated language processing capabilities.
