CodeLlama 7B

CodeLlama 7B is a specialized code generation model released by Meta on August 24, 2023. With 7 billion parameters, it excels in code completion, infilling, and instruction-following tasks. Built on an optimized transformer architecture, it's designed for both commercial and research applications, particularly in English and various programming languages. The model offers robust capabilities for AI engineers looking to enhance coding workflows or develop code generation applications. More details can be found on the official Hugging Face page .

CodeLlama 7B is Meta's 7-billion-parameter code-generation model, released August 24, 2023. It is produced by continuing training of Llama 2 7B on approximately 500 billion tokens of code-heavy data. The model supports code completion, fill-in-the-middle (FIM) infilling—predicting code within an existing structure—and natural language to code translation. This LLMReference seed row carries a 100K-token context, so treat it as a long-context hosted listing and verify the selected provider's actual limit before relying on full-window code prompts.

CodeLlama 7B handles multiple programming languages commonly represented in public code repositories, with strength in Python, C, C++, Java, PHP, TypeScript, C#, and Bash. The 7B scale makes it the most lightweight member of the CodeLlama family suitable for IDE integration, local self-hosting, and latency-sensitive inference pipelines. It fits in approximately 14GB VRAM in FP16, enabling single-GPU deployment while still leaving room for extended repository snippets when a host exposes the full 100K row context.

The model is available as open weights on Hugging Face (meta-llama/CodeLlama-7b-hf) under Meta's Code Llama Community License, and is hosted on Together AI, Fireworks AI, Baseten, Azure AI Foundry, and Replicate. Teams needing Python-specific specialization should evaluate CodeLlama 7B Python; those requiring stronger general code capability can scale to CodeLlama 13B or 34B. For new deployments, later code models such as DeepSeek Coder V2 or Qwen3-Coder offer substantially better benchmark performance.

CodeLlama 7B has a 100k-token context window.

CodeLlama 7B input tokens at $0.05/1M, output at $0.25/1M.