It uses large language models to generate synthetic instructions for fine-tuning other large language models. It supports gpt-4 and gpt-3.5-turbo, and allows you to specify different instructors, topics, prompts, and vectors for each task.
airoboros is a tool in the Text & Language Models category of a tech stack.
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What are some alternatives to airoboros?
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.
Chroma, GPT-3.5 by OpenAI, GPT-4 by OpenAI are some of the popular tools that integrate with airoboros. Here's a list of all 3 tools that integrate with airoboros.
It allows you to run open-source large language models, such as Llama 2, locally.