It is a universal solution that allows any language model to be deployed natively on a diverse set of hardware backends and native applications, plus a productive framework for everyone to further optimize model performance for their own use cases.
MLC-LLM is a tool in the Text & Language Models category of a tech stack.
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What are some alternatives to MLC-LLM?
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
It is an open-source library designed to help developers build conversational streaming user interfaces in JavaScript and TypeScript. The SDK supports React/Next.js, Svelte/SvelteKit, and Vue/Nuxt as well as Node.js, Serverless, and the Edge Runtime.
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
It allows you to run open-source large language models, such as Llama 2, locally.
Windows, macOS, iOS, Android OS, Linux are some of the popular tools that integrate with MLC-LLM. Here's a list of all 5 tools that integrate with MLC-LLM.