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#
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## Further Reading
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For more information, please refer to the [documentation](https://docs.rs/llm). The documentation provides an in-depth guide to using `llm` in your Rust projects, getting models, using the `llm` CLI, and answers to frequently asked questions.
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title: README
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# rustformers - Large Language Models in Rust
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rustformers is a group that wants to make it easy for Rust developers to access the power of large language models (LLMs).
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As of June 2023, the focus is on keeping pace with the fast-moving [GGML](https://github.com/ggerganov/ggml) ecosystem -
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a C library that uses quantization to make it possible to run LLMs on the CPU.
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In the future, there will be support for other backends that allow running LLMs on GPUs, in Wasm environments, and more.
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This 🤗 space will host models vetted by the rustformers team.
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If you're a Rust developer and are looking to build with LLMs, keep reading to learn about `llm` - a Rust crate that is the entry point to the rustformers ecosystem.
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## `llm`
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The `llm` crate exposes an interface for working with LLMs and provides implementations for many popular model architectures,
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including BLOOM, GPT-2, GPT-J, GPT-NeoX, LLaMA, and MPT.
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The `llm` project includes a simple CLI for [interacting with LLMs](https://github.com/rustformers/llm#usage),
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as well as [examples](https://github.com/rustformers/llm/tree/main/crates/llm/examples) of how to use `llm` in a Rust project.
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To learn more about `llm`, visit its [GitHub repository](https://github.com/rustformers/llm)
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or check out the [official documentation](https://docs.rs/llm) for released versions.
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## Get in Touch!
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We're building a community of enthusiastic developers and would love for you to join! If you're looking to chat, check out our [Discord](https://discord.gg/YB9WaXYAWU).
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We also actively monitor GitHub [Issues](https://github.com/rustformers/llm/issues/new) and [Discussions](https://github.com/rustformers/llm/discussions/new).
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