WizardCoder 34B v1
WizardCoder 34B v1 is WizardLM's instruction-tuned coding model built at 34 billion parameters. It applies the Evol-Instruct data augmentation methodology — which iteratively evolves training instructions to increase complexity and diversity — to a code-focused dataset, resulting in a model with strong performance on complex programming tasks.
The model handles algorithmic problem-solving, data structure implementation, and multi-language code generation with notable depth for an open-weight model of its era. WizardCoder 34B was well-regarded on HumanEval-style benchmarks at the time of its release and remains a useful choice for teams wanting a capable self-hosted code assistant that works across a wide range of languages and complexity levels.
Key Features
Complex algorithmic problem-solving and data structure implementation
Multi-language code generation covering Python, Java, C++, and more
Instruction-tuned via Evol-Instruct for complex query handling
Code debugging and error explanation
API and library usage assistance
Competitive HumanEval-class coding benchmark performance
Ideal Use Cases
Self-hosted professional coding assistant
Competitive programming and algorithm practice tooling
Code review and refactoring suggestions
Developer productivity tooling for engineering teams
Example Prompts for WizardCoder 34B v1
Technical Specifications
| Provider | WizardLM |
| Category | Code |
| Modality | Text -> Code |
Frequently Asked Questions
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