Code Llama — Open Source AI for Code Generation
Code Llama is an open-source large language model for software development and automated coding tasks for developers
Code Llama is an open-source large language model (LLM) designed to generate and discuss code through natural language prompts. This tool is built specifically for software engineering teams, technical founders, and computer science students who need to accelerate development cycles. By building on the Llama 2 architecture, Code Llama provides a specialized foundation for filling in missing code, generating unit tests, and explaining complex logic across various tech stacks. Business owners can use Code Llama to improve internal developer productivity for projects involving Python, Java, C++, PHP, and JavaScript. The model includes specialized versions such as Code Llama - Python and Code Llama - Instruct, which are fine-tuned for specific programming languages and natural language instruction following. It handles long-range dependencies with support for context windows up to 100,000 tokens, allowing it to process and suggest code based on large existing codebases. Implementing this model helps small businesses and tech companies streamline their workflow by automating repetitive debugging and documentation tasks. As detailed on surfai.app, the model is available in multiple sizes including 7B, 13B, and 34B parameters to suit different hardware requirements. This flexibility allows teams to deploy the model locally or via cloud providers to maintain data privacy while benefiting from high-quality code suggestions. The tool is released under the same permissive community license as Llama 2, making it free for most research and commercial use cases. Organizations requiring enterprise-level scaling can find it integrated into various managed cloud platforms and developer environments.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | Hugging Face, PyTorch, VS Code, Amazon SageMaker, Google Vertex AI, Microsoft Azure |
| Best for | founders, software-engineers, tech-leads, data-scientists |
| Website status checked | 2026-10-22T06:01:08.69+00:00 |
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