llama.cpp | Port of Facebook 's LLaMA model in C/C++

 by   ggerganov C Version: master-a09f919 License: MIT

kandi X-RAY | llama.cpp Summary

kandi X-RAY | llama.cpp Summary

llama.cpp is a C library. llama.cpp has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

The main goal is to run the model using 4-bit quantization on a MacBook. This was hacked in an evening - I have no idea if it works correctly. Please do not make conclusions about the models based on the results from this implementation. For all I know, it can be completely wrong. This project is for educational purposes. New features will probably be added mostly through community contributions.
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            kandi-support Support

              llama.cpp has a medium active ecosystem.
              It has 31545 star(s) with 4383 fork(s). There are 337 watchers for this library.
              There were 10 major release(s) in the last 12 months.
              There are 309 open issues and 519 have been closed. On average issues are closed in 9 days. There are 69 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of llama.cpp is master-a09f919

            kandi-Quality Quality

              llama.cpp has no bugs reported.

            kandi-Security Security

              llama.cpp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              llama.cpp is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              llama.cpp releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            llama.cpp Key Features

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            llama.cpp Examples and Code Snippets

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            Install llama.cpp

            You can download it from GitHub.

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