WizardLMTeam/WizardCoder-Python-34B-V1.0
WizardLMTeam's WizardCoder-Python-34B-V1.0 is a 34 billion parameter large language model specifically optimized for code generation, particularly in Python, with a context length of 32768 tokens. Developed using the Evol-Instruct method, it demonstrates strong performance in coding benchmarks. This model is designed for advanced code generation tasks, offering capabilities comparable to or surpassing several larger commercial models in specific coding metrics.
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WizardCoder-Python-34B-V1.0 Overview
WizardCoder-Python-34B-V1.0 is a 34 billion parameter code-focused large language model developed by WizardLMTeam, leveraging the Evol-Instruct method for enhanced performance. It is specifically fine-tuned for Python code generation and understanding, featuring a substantial context window of 32768 tokens.
Key Capabilities
- High-Performance Code Generation: Achieves 73.2 pass@1 on HumanEval, 64.6 pass@1 on HumanEval-Plus, 73.2 pass@1 on MBPP, and 59.9 pass@1 on MBPP-Plus.
- Competitive Benchmarking: Outperforms GPT-4 (March 2023 version) and ChatGPT-3.5 in HumanEval, and Claude2 in specific coding benchmarks.
- Evol-Instruct Training: Benefits from the Evol-Instruct method, which is designed to improve instruction-following and response quality.
Good For
- Python Code Development: Ideal for tasks requiring robust Python code generation, completion, and debugging.
- Advanced Coding Applications: Suitable for developers and researchers needing a powerful open-source model for complex programming challenges.
- Benchmarking and Research: Provides a strong baseline for evaluating and advancing code LLM capabilities.