llama-rs | Run LLaMA inference on CPU, with Rust 🦀🚀🦙

by rustformers Rust Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | llama-rs Summary

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

Run LLaMA inference on CPU, with Rust 🦙

Support

Quality

Security

License

Reuse

Support

llama-rs has a medium active ecosystem.

It has 2830 star(s) with 133 fork(s). There are 27 watchers for this library.

It had no major release in the last 6 months.

There are 27 open issues and 57 have been closed. On average issues are closed in 8 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of llama-rs is current.

Quality

llama-rs has no bugs reported.

Security

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

License

llama-rs is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

llama-rs releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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llama-rs Key Features

No Key Features are available at this moment for llama-rs.

llama-rs Examples and Code Snippets

No Code Snippets are available at this moment for llama-rs.

Community Discussions

No Community Discussions are available at this moment for llama-rs.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install llama-rs

Make sure you have a Rust 1.65.0 or above and C toolchain[^1] set up. llama-rs is a Rust library, while llama-cli is a CLI application that wraps llama-rs and offers basic inference capabilities. The following instructions explain how to build llama-cli. NOTE: For best results, make sure to build and run in release mode. Debug builds are going to be very slow.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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