CodeLlama-34B-Instruct-GGUF
| Property | Value |
|---|---|
| Parameter Count | 33.7B parameters |
| Model Type | Instruction-tuned Code Generation |
| License | Llama2 |
| Paper | Code Llama Paper |
| Author | Meta (Original), TheBloke (GGUF Version) |
What is CodeLlama-34B-Instruct-GGUF?
CodeLlama-34B-Instruct-GGUF is a GGUF-formatted version of Meta's powerful code generation model, specifically optimized for instruction-following and code synthesis tasks. This version, quantized by TheBloke, offers various compression options ranging from 2-bit to 8-bit precision, making it adaptable for different hardware configurations while maintaining performance.
Implementation Details
The model utilizes the latest GGUF format, which replaced the older GGML format, offering improved tokenization and special token support. It comes in multiple quantization variants, from Q2_K (14.21GB) to Q8_0 (35.86GB), allowing users to balance between model size and performance based on their requirements.
- Multiple quantization options for different hardware constraints
- Built-in prompt template for code generation tasks
- Compatible with various inference frameworks including llama.cpp, text-generation-webui, and others
- Supports extended context lengths with automatic RoPE scaling
Core Capabilities
- Code completion and generation
- Instruction-following for coding tasks
- Multi-language code synthesis
- GPU acceleration support with layer offloading
Frequently Asked Questions
Q: What makes this model unique?
This model combines Meta's powerful CodeLlama architecture with TheBloke's GGUF optimization, offering various quantization options for efficient deployment while maintaining high-quality code generation capabilities.
Q: What are the recommended use cases?
The model excels at code generation tasks, particularly when given specific instructions. It's ideal for developers seeking AI assistance in coding, code completion, and programming problem-solving scenarios.
