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AI · February 2, 2025

CE

Chrome extension to run DeepSeek, LLMs and Whisper locally in browser

Hi all, I open sourced my toy project that runs Generative AI models LOCALLY in the side panel of a Chrome extension. The Chrome extension uses Transformers.js to run models in browser under the hood. I've integrated and tested these models so far. \1. LLM: Llama 3, Phi 3.5, Qwen 2.5, SmolLM2 \2. Reasoning: DeepSeek R1 \3. Multimodal LLM: Janus \4. Speech-to-Text: Whisper On an M1 MacBook, DeepSeek R1 1.5B runs at ~30 tokens/sec If you're interested in, you can download the extension from chrome web store or clone my github repository. \1. chrome web store:…

In plain words

This Chrome extension runs generative AI models directly in the browser's side panel without sending data to external servers. It supports multiple model types including language models like Llama 3 and Qwen 2.5, reasoning models like DeepSeek R1, multimodal models like Janus, and speech-to-text via Whisper. Built with Transformers.js, it's designed for users who want local AI processing within their browser, with performance around 30 tokens per second on M1 MacBooks. The project is open source and available on the Chrome Web Store.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi all, I open sourced my toy project that runs Generative AI models LOCALLY in the side panel of a Chrome extension. The Chrome extension uses Transformers.js to run models in browser under the hood. I've integrated and tested these models so far. \1. LLM: Llama 3, Phi 3.5, Qwen 2.5, SmolLM2 \2. Reasoning: DeepSeek R1 \3. Multimodal LLM: Janus \4. Speech-to-Text: Whisper On an M1 MacBook, DeepSeek R1 1.5B runs at ~30 tokens/sec If you're interested in, you can download the extension from chrome web store or clone my github repository. \1. chrome web store: https://chromewebstore.google.com/detail/private-ai-assistan... \2. github: https://github.com/tantara/transformers.js-chrome \3. demo: https://www.youtube.com/watch?v=MSCDdFG5Lls It's my first react project. Feedback is always welcome!

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