WizardCoder-Python-34B-V1.0-GGUF
| Property | Value |
|---|---|
| Parameter Count | 33.7B |
| Base Model | LLaMA 2 |
| License | Llama 2 |
| HumanEval Score | 73.2% pass@1 |
| Format | GGUF (Various quantizations) |
What is WizardCoder-Python-34B-V1.0-GGUF?
WizardCoder-Python-34B-V1.0-GGUF is a cutting-edge code generation model that has been converted to the efficient GGUF format. This model represents a significant advancement in AI code generation, surpassing early 2023 versions of GPT-4 and matching or exceeding other leading models like ChatGPT-3.5 and Claude2 in code generation tasks.
Implementation Details
The model is available in multiple quantization formats ranging from 2-bit to 8-bit, offering different tradeoffs between model size and performance. The recommended Q4_K_M quantization provides an excellent balance, requiring approximately 22.72GB of RAM.
- Multiple quantization options (Q2_K through Q8_0)
- GGUF format supporting metadata and improved tokenization
- Compatible with llama.cpp and various UI interfaces
- Supports GPU offloading for improved performance
Core Capabilities
- Superior Python code generation with 73.2% pass@1 on HumanEval
- Advanced code completion and problem-solving
- Efficient memory usage through quantization
- Support for context lengths up to 4096 tokens
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its exceptional performance in Python code generation, surpassing early versions of GPT-4 and providing state-of-the-art results in an open-source format. The GGUF quantization makes it accessible for local deployment on consumer hardware.
Q: What are the recommended use cases?
The model excels at Python code generation, debugging, and technical problem-solving. It's particularly well-suited for development environments where local deployment and privacy are priorities.
