Code Llama 34B occupies the mid-tier of Meta's Code Llama lineup, offering substantial coding capability in a smaller footprint than the 70B model. Built on Llama 2 with extensive code-focused continued pre-training, it targets professional software developers who need reliable code generation, debugging assistance, and documentation writing without the compute overhead of the largest models.
The 34B size point balances quality and deployment cost well: it fits on a single high-memory GPU or a modest multi-GPU setup, making it practical for teams hosting their own inference infrastructure. It supports fill-in-the-middle completion, handles multi-language codebases, and can follow code-related instructions conversationally, serving as a capable pair-programmer for day-to-day development work.
Key Features
Professional-grade code generation across major programming languages
Fill-in-the-middle completion for inline code suggestions
Conversational instruction following for code-related Q&A
Fits single high-memory GPU for cost-effective self-hosting
Strong debugging and error explanation capabilities
Supports code documentation and unit test generation
Ideal Use Cases
In-house coding assistant deployable on private infrastructure
Automated generation of unit tests and docstrings
Debugging support integrated into CI/CD pipelines
Boilerplate and scaffolding generation for common patterns
Code explanation and onboarding documentation for new engineers
Example Prompts for Code Llama 34B
Technical Specifications
| Provider | Meta |
| Category | Code |
| Modality | Text -> Code |
Frequently Asked Questions
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