CodeLlama-13B-GGUF
| Property | Value |
|---|---|
| Parameter Count | 13B |
| License | Llama 2 |
| Author | TheBloke (Quantized) / Meta (Original) |
| Research Paper | Code Llama Paper |
What is CodeLlama-13B-GGUF?
CodeLlama-13B-GGUF is a quantized version of Meta's Code Llama model, specifically optimized for efficient deployment using the GGUF format. This model represents a significant advancement in code generation and understanding, offering various quantization options from 2-bit to 8-bit precision to balance performance and resource requirements.
Implementation Details
The model is available in multiple quantization formats, ranging from Q2_K (5.43GB) to Q8_0 (13.83GB), each offering different trade-offs between model size and performance. It supports GPU acceleration through various frameworks including llama.cpp, text-generation-webui, and others.
- Multiple quantization options (Q2_K to Q8_0)
- GPU acceleration support
- Optimized for code generation tasks
- Compatible with major frameworks and libraries
Core Capabilities
- General code synthesis and understanding
- Code completion functionality
- Infilling capabilities
- Support for multiple programming languages
Frequently Asked Questions
Q: What makes this model unique?
This model offers exceptional versatility through its various quantization options, making it adaptable to different hardware configurations while maintaining code generation capabilities. The GGUF format provides better tokenization and support for special tokens compared to older formats.
Q: What are the recommended use cases?
The model is ideal for code completion, code generation, and programming assistance tasks. For optimal performance with balanced resource usage, the Q4_K_M or Q5_K_S quantization versions are recommended for most users.
