This is the Linux app named CodeLlama whose latest release can be downloaded as codellamasourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named CodeLlama with OnWorks for free.
Siga estas instruções para executar este aplicativo:
- 1. Baixe este aplicativo em seu PC.
- 2. Entre em nosso gerenciador de arquivos https://www.onworks.net/myfiles.php?username=XXXXX com o nome de usuário que você deseja.
- 3. Carregue este aplicativo em tal gerenciador de arquivos.
- 4. Inicie o emulador OnWorks Linux online ou Windows online ou emulador MACOS online a partir deste site.
- 5. No sistema operacional OnWorks Linux que você acabou de iniciar, acesse nosso gerenciador de arquivos https://www.onworks.net/myfiles.php?username=XXXXX com o nome de usuário que deseja.
- 6. Baixe o aplicativo, instale-o e execute-o.
SCREENSHOTS
Ad
CódigoLlama
DESCRIÇÃO
Code Llama is a family of Llama-based code models optimized for programming tasks such as code generation, completion, and repair, with variants specialized for base coding, Python, and instruction following. The repo documents the sizes and capabilities (e.g., 7B, 13B, 34B) and highlights features like infilling and large input context to support real IDE workflows. It targets both general software synthesis and language-specific productivity, offering strong performance among open models at release time. Typical usage includes prompt-driven generation, function or class completion, and zero-shot adherence to natural-language instructions about code changes. The ecosystem provides multiple distributions (e.g., HF format) so developers can integrate with standard toolchains and serving stacks. As part of the broader Llama effort, Code Llama complements instruction-tuned chat models by focusing on code-centric tasks and editor integrations.
Recursos
- Multiple model sizes for different latency/quality needs
- Specializations for base coding, Python, and instruction following
- Infilling for middle-of-file completions
- Strong zero-shot and prompt-conditioned code synthesis
- Support for long context windows in coding workflows
- Distributions compatible with common serving toolchains
Linguagem de Programação
Python
Categorias
This is an application that can also be fetched from https://sourceforge.net/projects/codellama.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
