WizardCoder-Python-13B-V1.0-GGUF
| Property | Value |
|---|---|
| Parameter Count | 13B |
| Model Type | Code Generation (Python-focused) |
| Architecture | LLaMA-based |
| License | Llama 2 |
| HumanEval Score | 64.0 pass@1 |
What is WizardCoder-Python-13B-V1.0-GGUF?
WizardCoder-Python-13B is a specialized code generation model fine-tuned specifically for Python programming tasks. This GGUF version, converted by TheBloke, offers various quantization options from 2-bit to 8-bit, enabling deployment across different hardware configurations while maintaining strong performance.
Implementation Details
The model is available in multiple GGUF quantization formats, ranging from 5.43GB (Q2_K) to 13.83GB (Q8_0) in size. It uses the Alpaca prompt format and can be deployed using popular frameworks like llama.cpp, text-generation-webui, or Python libraries such as ctransformers and llama-cpp-python.
- Achieves 64.0 pass@1 on HumanEval benchmark
- Supports context length of 4096 tokens
- Multiple quantization options for different performance/size tradeoffs
- Compatible with major deployment frameworks
Core Capabilities
- Python code generation and completion
- Technical problem-solving and algorithm implementation
- Code explanation and documentation
- Bug fixing and code optimization
- Support for various Python programming tasks
Frequently Asked Questions
Q: What makes this model unique?
WizardCoder-Python-13B stands out for its specialized focus on Python programming and impressive performance on the HumanEval benchmark, surpassing many comparable models. The GGUF format enables efficient deployment across different hardware configurations.
Q: What are the recommended use cases?
The model is ideal for Python development tasks, including code generation, debugging, optimization, and technical problem-solving. For optimal performance-to-resource ratio, the Q4_K_M quantization is recommended for most users.
