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290MB = useful LLM (running directly in your browser via WebGPU) 🤯 Bonsai 1-bit is beyond my comprehension... try the demo on hugging face ⬇️

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Victor M

29,235 subscribers

63,244 görüntüleme • 4 ay önce •via X (Twitter)

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🤯MUST TRY: Qwen-Image-i2L skips the training loop entirely. 1-5 images in → LoRA weights out in seconds. ⬇️ Demo available on Hugging Face
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🤯MUST TRY: Qwen-Image-i2L skips the training loop entirely. 1-5 images in → LoRA weights out in seconds. ⬇️ Demo available on Hugging Face

Victor M

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This is a demo I made with Astra called Tide Garden It's a wasm + webgpu realtime demo you can run in Chrome on your browser Very zen to leave in the background
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This is a demo I made with Astra called Tide Garden It's a wasm + webgpu realtime demo you can run in Chrome on your browser Very zen to leave in the background

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wow... this is crazy work. Claude Code running on my browser with every useful API available in the vibecode.dev API tab.
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wow... this is crazy work. Claude Code running on my browser with every useful API available in the vibecode.dev API tab.

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Demo of 1-bit Bonsai 8B from PrismML running on-device on iPhone 17 Pro More than 40tk/s for a dense 8B model on iPhone, that’s a first Powered by Apple MLX and available now in Locally AI
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Stable Diffusion 100% in the browser with running at < 1s per image ⚡️ Thanks to SD Turbo by Axel Sauer & al Stability AI and diffusers.js on webGPU by Arthur Islamov Demo: More info in ↓🧵
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Stable Diffusion 100% in the browser with running at < 1s per image ⚡️ Thanks to SD Turbo by Axel Sauer & al Stability AI and diffusers.js on webGPU by Arthur Islamov Demo: More info in ↓🧵

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New Voxtral-4B-TTS is beautiful 💛 it sounds so good that it's whispering at closed models: "your time is over" - Demo available on Hugging Face ⬇️
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New Voxtral-4B-TTS is beautiful 💛 it sounds so good that it's whispering at closed models: "your time is over" - Demo available on Hugging Face ⬇️

Victor M

107,710 görüntüleme • 5 ay önce

Mac owners don't miss this: MLX LM is now integrated directly within Hugging Face 🤯 ⬇️ Run 4,400+ LLMs locally on Apple Silicon at max speed, no cloud, no wait.
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Mac owners don't miss this: MLX LM is now integrated directly within Hugging Face 🤯 ⬇️ Run 4,400+ LLMs locally on Apple Silicon at max speed, no cloud, no wait.

Victor M

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Bonsai 27B running locally on an iPhone in Atomic Chat! Bonsai is the first 27B-class model that fits on a phone. PrismML built it on Qwen3.6 27B with 1-bit weights. It takes 3.9GB instead of 54GB and keeps ~90% of the benchmark scores. Available now on iPhone and Android
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Bonsai 27B running locally on an iPhone in Atomic Chat! Bonsai is the first 27B-class model that fits on a phone. PrismML built it on Qwen3.6 27B with 1-bit weights. It takes 3.9GB instead of 54GB and keeps ~90% of the benchmark scores. Available now on iPhone and Android

atomic.chat

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OpenMed Agent in 15 seconds. Codex. Claude. Hugging Face. Open source. The full stack. Bring your own LLM. The medical layer is built around it. Preview:
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OpenMed Agent in 15 seconds. Codex. Claude. Hugging Face. Open source. The full stack. Bring your own LLM. The medical layer is built around it. Preview:

OpenMed

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My special sites have the try on - copy and past ElainaVerified in your browser
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My special sites have the try on - copy and past ElainaVerified in your browser

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This is running in my web browser on my laptop. It's deterministic and running using webgpu Tonight; I have a /goal going where it is going to set up one of my 4090s as the authority server, and then test all the rollback code. Goal is 50k boxes simmed per user, up to 512 users. Massively multiplayer massively rigid body physics online games inside your web browser. Why the hell not, we've got the tokens to spare!
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This is running in my web browser on my laptop. It's deterministic and running using webgpu Tonight; I have a /goal going where it is going to set up one of my 4090s as the authority server, and then test all the rollback code. Goal is 50k boxes simmed per user, up to 512 users. Massively multiplayer massively rigid body physics online games inside your web browser. Why the hell not, we've got the tokens to spare!

kache

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Meta's Segment Anything Model (SAM) can now run in your browser w/ WebGPU (+ fp16), meaning up to 8x faster image encoding (10s → 1.25s)! 🤯⚡️ Video is not sped up! Everything runs 100% locally thanks to 🤗 Transformers.js and onnxruntime-web! 🔗 Demo:
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Meta's Segment Anything Model (SAM) can now run in your browser w/ WebGPU (+ fp16), meaning up to 8x faster image encoding (10s → 1.25s)! 🤯⚡️ Video is not sped up! Everything runs 100% locally thanks to 🤗 Transformers.js and onnxruntime-web! 🔗 Demo:

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Very hyped by the new Cohere Transcribe model 🌍 Works surprisingly well on bad quality audio when the mic doesn't cooperate. 2B params, 14 supported languages and it's Apache 2.0. try the official Hugging Face demo ⬇️

Victor M

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This is three.js running on the Exosphere. 🤯 Rendering in realtime from a browser at 8K / 60fps. Here’s how Shopify just pulled it off 👇
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Daniel Beauchamp

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Ask Claude to document and describe the main flows in your app and output in a single page html + json data file. Incredibly useful for humans and the JSON file is very useful for explaining the flow to the LLM when working on new features/bugfixes.
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Ask Claude to document and describe the main flows in your app and output in a single page html + json data file. Incredibly useful for humans and the JSON file is very useful for explaining the flow to the LLM when working on new features/bugfixes.

Dave Jeffery

570,578 görüntüleme • 3 ay önce

Cool: Hugging Face is now supported in opencode, select your favorite model from the Hub and it will consume your inference quota directly. I recommend starting with GLM-4.5 (great at coding + awesome at agentic tasks)
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Cool: Hugging Face is now supported in opencode, select your favorite model from the Hub and it will consume your inference quota directly. I recommend starting with GLM-4.5 (great at coding + awesome at agentic tasks)

Victor M

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IBM just released Granite 4.0 1B Speech, a compact and efficient speech-language model, designed for multilingual speech recognition and bidirectional speech translation. New #1 on the OpenASR leaderboard! It can even run in your browser on WebGPU, thanks to 🤗 Transformers.js
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IBM just released Granite 4.0 1B Speech, a compact and efficient speech-language model, designed for multilingual speech recognition and bidirectional speech translation. New #1 on the OpenASR leaderboard! It can even run in your browser on WebGPU, thanks to 🤗 Transformers.js

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Microsoft killed the GPU mafia 🤯 They finally open-sourced their 1-bit LLM inference framework called bitnet.cpp. It lets you run 100B parameter models on your local CPU without GPUs. - 6.17x faster inference - 82.2% less energy on CPUs 100% Open Source.

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