CodeLlama-7B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 6.74B |
| License | Llama 2 |
| Research Paper | Code Llama Paper |
| Author | Meta (Original), TheBloke (GGUF Version) |
What is CodeLlama-7B-Instruct-GGUF?
CodeLlama-7B-Instruct-GGUF is a GGUF-optimized version of Meta's CodeLlama model, specifically designed for code generation and instruction following. This version offers multiple quantization options ranging from 2-bit to 8-bit precision, allowing users to balance between model size and performance based on their requirements.
Implementation Details
The model is implemented using the GGUF format, which offers improved tokenization and special token support compared to the older GGML format. It's compatible with various platforms including llama.cpp, text-generation-webui, and other popular frameworks.
- Multiple quantization options (Q2_K through Q8_0)
- File sizes ranging from 2.83GB to 7.16GB
- Optimized for both CPU and GPU inference
- Support for extended context lengths
Core Capabilities
- Code completion and generation
- Instruction following for coding tasks
- Multi-turn coding discussions
- Code understanding and explanation
- Support for multiple programming languages
Frequently Asked Questions
Q: What makes this model unique?
This model combines the power of Code Llama's instruction-tuned capabilities with the efficiency of GGUF format, offering various quantization options to suit different hardware configurations while maintaining high-quality code generation abilities.
Q: What are the recommended use cases?
The model excels at code generation, completion, and explanation tasks. It's particularly well-suited for interactive coding assistance, code documentation, and solving programming problems through instruction-based interaction.
