Code Llama
A code-specialized large language model released by Meta. It follows a training strategy of initial pretraining on general-purpose corpora followed by fine-tuning on code-specific data, resulting in a model optimized for code generation, completion, and understanding tasks.
Core Facts
Timeline (last 90 days)
Meta's Code Llama and Mistral's Codestral are open-source code models that can be self-hosted.
Open-source models such as locally deployed Code Llama and DeepSeek Coder can be combined to handle non-core tasks, reducing reliance on paid quotas.
Developers can use tools such as Ollama and LM Studio to run open-source code models (such as DeepSeek Coder and Code Llama) locally as a backup solution; their capability ceiling is below that of top cloud-based models but they are fully controllable.
Meta的Llama系列最新版本为Llama 4
All Facts (6)
Pass rates of code generation models on benchmarks such as HumanEval jumped from 60% to over 90% between 2024 and 2025
80%UnverifiedContinue是一个开源AI编程助手框架，允许开发者自由选择后端模型，包括本地部署的Code Llama、DeepSeek Coder等开源模型
85%UnverifiedDevelopers can use tools such as Ollama and LM Studio to run open-source code models (such as DeepSeek Coder and Code Llama) locally as a backup solution; their capability ceiling is below that of top cloud-based models but they are fully controllable.
60%UnverifiedMeta's Code Llama and Mistral's Codestral are open-source code models that can be self-hosted.
50%UnverifiedOpen-source models such as locally deployed Code Llama and DeepSeek Coder can be combined to handle non-core tasks, reducing reliance on paid quotas.
50%UnverifiedMeta的Llama系列最新版本为Llama 4
50%