| Property | Value |
|---|---|
| Model Size | 34B parameters |
| License | Llama2 |
| Paper | WizardCoder Paper |
| HumanEval Score | 73.2% pass@1 |
What is WizardCoder-Python-34B-V1.0?
WizardCoder-Python-34B-V1.0 is a state-of-the-art code generation language model built on the Llama2 architecture. It represents a significant advancement in AI-powered code generation, achieving remarkable performance that surpasses early versions of GPT-4 and competing with leading commercial models.
Implementation Details
The model implements the Evol-Instruct methodology for code generation, utilizing a 34B parameter architecture. It uses a specific prompt format for instruction-following and can be accessed through the Hugging Face Transformers library.
- Built on Llama2 architecture
- Implements text-generation-inference for optimal performance
- Supports both code completion and generation tasks
- Uses specialized instruction-following format
Core Capabilities
- 73.2% pass@1 on HumanEval benchmark
- 64.6% pass@1 on HumanEval-Plus
- 73.2% pass@1 on MBPP
- 59.9% pass@1 on MBPP-Plus
- Surpasses GPT-4 (March 2023) performance on code generation tasks
Frequently Asked Questions
Q: What makes this model unique?
WizardCoder-Python-34B-V1.0 stands out for its exceptional performance on code-related benchmarks, achieving scores that compete with or surpass major commercial models while maintaining open-source availability under the Llama2 license.
Q: What are the recommended use cases?
The model excels at Python code generation, completion, and problem-solving tasks. It's particularly well-suited for software development assistance, code review, and automated programming tasks that require high accuracy and reliability.