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align=\"center\"\u003e\n\n\u003cimg src=\"./assets/burn-blue.webp\" width=\"350px\"/\u003e\n\u003ch1\u003eBurn LM\u003c/h1\u003e\n\n[![Discord](https://img.shields.io/discord/1038839012602941528.svg?color=7289da\u0026\u0026logo=discord)](https://discord.gg/uPEBbYYDB6)\n![license](https://shields.io/badge/license-MIT%2FApache--2.0-blue)\n\n---\n\n**Burn-LM aims at democratizing large model inference and training on any device.**\n\n\u003cbr/\u003e\n\u003c/div\u003e\n\n## Quick Start\n\nLaunch a Burn LM shell with:\n\n```sh\ngit clone https://github.com/tracel-ai/burn-lm.git\ncd burn-lm\ncargo burn-lm\n```\n\nType `help` to get a list of commands.\n\n## Available Models\n\nThe list of models is very small at the moment since we're focused on performance optimization.\nStill, we're accepting high quality contributions to port open-source models to Burn-LM.\n\nHere's the current list of supported models:\n\n| Model     | Size   |\n| --------- | ------ |\n| Llama 3   | 8B     |\n| Llama 3.1 | 8B     |\n| Llama 3.2 | 1B, 3B |\n| TinyLlama | 1.1B   |\n\n### Adding a New Model\n\nModels can be easily integrated with Burn LM by implementing the `InferenceServer`\ntrait to create a pluggable server that can be added to the Burn LM registry.\n\nTo bootstrap a new model server you can use the dedicated command `new`:\n\n```sh\ncargo burn-lm new \"my-model\"\n```\n\nThis will create a new crate named `burn-lm-inference-my-model` and automatically\nregister it in `burn-lm-registry`.\n\nThe bootstraped server is a model-less server that just repeat the prompt it is\ngiven. You can also get inspiration from the other crate with the crate `burn-lm-llama`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftracel-ai%2Fburn-lm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftracel-ai%2Fburn-lm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftracel-ai%2Fburn-lm/lists"}