CodeLlama-13B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 13B |
| License | Llama 2 |
| Author | Meta (Original) / TheBloke (GGUF) |
| Paper | Code Llama: Open Foundation Models for Code |
What is CodeLlama-13B-Instruct-GGUF?
CodeLlama-13B-Instruct-GGUF is a specialized instruction-tuned variant of Meta's Code Llama model, converted to the efficient GGUF format. This model is specifically designed for code synthesis and understanding tasks, with enhanced capabilities for following user instructions in a coding context.
Implementation Details
The model is available in multiple quantization formats ranging from 2-bit to 8-bit, offering different trade-offs between model size and performance. The recommended Q4_K_M quantization provides a balanced approach with a 7.87GB model size requiring 10.37GB RAM.
- Multiple quantization options (Q2_K through Q8_0)
- Optimized for both CPU and GPU inference
- Supports context length of 4096 tokens
- Compatible with popular frameworks like llama.cpp
Core Capabilities
- Code completion and synthesis
- Instruction following for coding tasks
- Multi-turn coding discussions
- Code understanding and explanation
Frequently Asked Questions
Q: What makes this model unique?
This model combines Code Llama's powerful code understanding capabilities with instruction-tuning, making it especially suitable for interactive coding assistance. The GGUF format enables efficient deployment across various hardware configurations.
Q: What are the recommended use cases?
The model excels at code generation, debugging assistance, code explanation, and general programming tasks. It's particularly effective when used in an interactive manner where specific coding instructions are provided.
