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CodeLlama download for Linux

Free download CodeLlama Linux app to run online in Ubuntu online, Fedora online or Debian online

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.

Volg deze instructies om deze app uit te voeren:

- 1. Download deze applicatie op uw pc.

- 2. Voer in onze bestandsbeheerder https://www.onworks.net/myfiles.php?username=XXXXX in met de gebruikersnaam die u wilt.

- 3. Upload deze applicatie in zo'n bestandsbeheerder.

- 4. Start de OnWorks Linux online of Windows online emulator of MACOS online emulator vanaf deze website.

- 5. Ga vanuit het OnWorks Linux-besturingssysteem dat u zojuist hebt gestart naar onze bestandsbeheerder https://www.onworks.net/myfiles.php?username=XXXXX met de gewenste gebruikersnaam.

- 6. Download de applicatie, installeer hem en voer hem uit.

SCREENSHOTS

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CodeLama


PRODUCTBESCHRIJVING

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.



Kenmerken

  • 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


Programmeertaal

Python


Categorieën

Grote taalmodellen (LLM)

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.


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