Code Llama was developed by fine-tuning Llama 2 using a higher sampling of code. As with Llama 2, we applied considerable safety mitigations to the fine-tuned versions of the model. For detailed information on
git clone https://github.com/SeungyounShin/Llama2-Code-Interpreter.git cd Llama2-Code-Interpreter Install the required dependencies: pip install -r requirements.txt Run App with GPT4 finetunned Llama Model To start interacting with Llama2 via the Gradio UI using codellama-7b-instruct-pad, foll...
Code Llama 是为代码类任务而生的一组最先进的、开放的 Llama 2 模型，我们很高兴能将其集成入 Hugging Face 生态系统！Code Llama 使用与 Llama 2 相同的社区许可证，且可商用。今天，我们很高兴能发布 Hugging Face 对 Code Llama 的全面支持 , 包括:Hub 上的模型支持，包括模型卡及许可证Transformers 已集成...
Introducing Code Llama Code Llama is a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks. We provide multiple...
Code Llama is a family of large language models for code based on Llama 2 providing state-of-the-art performance among open models, infilling capabilities, support for large input contexts, and zero-shot instruction following ability for programming tasks. We provide multiple flavors to cover a ...
Meta 刚刚开源了号称是编程领域 “最先进的大语言模型”——Code Llama，可根据代码和自然语言提示生成代码和有关代码的自然语言，支持多种主流编程语言，包括 Python、C++、Java、PHP、Typescript (Javascript)、C# 和 Bash。Code Llama 完全免费，可用于研究和商业用途，并已在 GitHub 发布：https://github.com/...
Code Llama was developed by fine-tuning Llama 2 using a higher sampling of code. As with Llama 2, we applied considerable safety mitigations to the fine-tuned versions of the model. For detailed information on model training, architecture and parameters, evaluations, responsible AI and safety ...
Llama中文社区,最好的中文Llama大模型,完全开源可商用. Contribute to code-world-ooo/Llama2-Chinese development by creating an account on GitHub.
推理终端 (Inference Endpoints) 已集成 Code Llama 对Code Llama 的代码基准测试结果已发布 代码大语言模型的发展对于软件工程师来说无疑是振奋人心的,因为这意味着他们可以通过 IDE 中的代码补全功能来提高生产力,并利用其来处理重复或烦人的任务,例如为代码编写文档字符串或创建单元测试。
Code Llama was developed by fine-tuning Llama 2 using a higher sampling of code. As with Llama 2, we applied considerable safety mitigations to the fine-tuned versions of the model. For detailed information on model training, architecture and parameters, evaluations, responsible AI and safety ...