Fibonacci-2-9b
| Property | Value |
|---|---|
| Parameter Count | 9.24 billion |
| Architecture | Gemma2 |
| License | MIT |
| Formats | GGUF (4-bit, 5-bit, 8-bit, 16-bit) |
What is fibonacci-2-9b?
Fibonacci-2-9b is a sophisticated large language model built on the Gemma2 architecture, featuring 9.24 billion parameters. This model represents a significant advancement in natural language processing capabilities, offering versatile deployment options through multiple quantization formats. Designed with both performance and accessibility in mind, it supports various compression levels from 4-bit to 16-bit precision.
Implementation Details
The model leverages the Hugging Face Transformers library for seamless integration and deployment. It supports multiple GGUF formats, including Q4_K_M, Q5_K_M, Q8_0, and F16, allowing users to balance between performance and resource requirements based on their specific needs.
- Multiple quantization options for flexible deployment
- Built on advanced Gemma2 architecture
- Comprehensive Hugging Face integration
- MIT licensed for broad usage rights
Core Capabilities
- Advanced text generation and creative content creation
- Robust question-answering capabilities
- Cross-language machine translation support
- Sentiment analysis and emotional content detection
Frequently Asked Questions
Q: What makes this model unique?
The model's distinguishing feature is its implementation of the Gemma2 architecture combined with flexible quantization options, making it suitable for various deployment scenarios while maintaining performance.
Q: What are the recommended use cases?
The model excels in natural language processing tasks including text generation, question answering, machine translation, and sentiment analysis. It's particularly well-suited for applications requiring balanced performance and resource efficiency.
