CodeLlama (Meta)
Basic Information
- Company/Brand: Meta AI
- Country/Region: USA
- Official Website: https://www.llama.com/code-llama/
- GitHub: https://github.com/meta-llama/codellama
- Type: Open-source code generation model
- Release Date: August 2023
- License: Llama Community License
Product Description
Code Llama is an open-source large language model for code generation, fine-tuned by Meta based on the Llama 2 foundation model. Trained on 500 billion tokens of code data, it can generate code and natural language descriptions about code, supporting code completion and debugging.
Code Llama offers various model sizes (7B, 13B, 34B parameters) and multiple variants: the base code model, a Python-specific version, and an instruction-tuned version. In code generation benchmarks, it outperforms all other open-source models and performs comparably to ChatGPT.
Core Features/Characteristics
- Code generation and completion
- Code debugging assistance
- Natural language descriptions of code
- Multiple parameter sizes (7B/13B/34B)
- Three variants (Base/Python/Instruct)
- Based on Llama 2 architecture
- Supports multiple programming languages
Model Versions
| Model | Parameters | Description |
|---|---|---|
| Code Llama | 7B/13B/34B | Base code model |
| Code Llama - Python | 7B/13B/34B | Python-specific optimization |
| Code Llama - Instruct | 7B/13B/34B | Instruction-tuned version |
2026 Evolution: Llama 4 Coder
In 2026, Meta released Llama 4 Coder, a new generation of open-source large models specifically designed for code generation and understanding. Trained on large-scale code and natural language datasets, it focuses on coding tasks.
Business Model
Open-source model, free to use. Meta consolidates its influence in the AI ecosystem through open-source models, indirectly driving Meta's cloud services and advertising business.
Target Users
- Enterprises needing locally deployed code models
- Open-source AI researchers
- Developers requiring customized code models
- Users in privacy-sensitive scenarios
Competitive Advantages
- Fully open-source with open weights
- Multiple sizes to fit different hardware
- Continuous investment and updates by Meta (Llama 4 Coder)
- Strong community and ecosystem support
- Local deployment, no API fees
Market Performance
- One of the earliest and most well-known open-source code models
- Integrated into numerous third-party tools and platforms
- Maintains competitiveness through continuous updates to the Llama series
- Competes in the open-source code model space with DeepSeek Coder and others
Relationship with OpenClaw
Code Llama can be one of the underlying LLM choices for OpenClaw. OpenClaw supports local model execution, allowing users to select Code Llama to drive OpenClaw's coding-related functionalities, achieving full localization and privacy protection.
External References
Learn more from these authoritative sources: