Apple VLM Model On Webgpu - Search Videos

WWDC25: Unlock GPU computing with WebGPU | Apple | Michael Baeriswyl, PhD

WWDC25: Unlock GPU computing with WebGPU | Apple | Michael Baeriswyl, PhD

8.9K views4 months ago

Unlock GPU computing with WebGPU - WWDC25 - Videos - Apple Developer

Unlock GPU computing with WebGPU - WWDC25 - Videos - Apple Developer

M1 Pro and M1 Max GPU performance versus Nvidia and AMD | AppleInsider

M1 Pro and M1 Max GPU performance versus Nvidia and AMD | AppleInsider

appleinsider.com

Apple just released FastVLM on Hugging Face - 0.5, 1.5, and 7B real-time VLMs with WebGPU support 🤯 > 85x faster and 3.4x smaller than comparable-sized VLMs > 7.9x faster TTFT for larger models > designed to output fewer output tokens and reduce encoding time for high-resolution images and works in REALTIME directly in your browser, powered by transformers.js and WebGPU - https://huggingface.co/spaces/apple/fastvlm-webgpu | Md Ismail Sojal

Apple just released FastVLM on Hugging Face - 0.5, 1.5, and 7B real-time VLMs with WebGPU support 🤯 > 85x faster and 3.4x smaller than comparable-sized VLMs > 7.9x faster TTFT for larger models > designed to output fewer output tokens and reduce encoding time for high-resolution images and works in REALTIME directly in your browser, powered by transformers.js and WebGPU - https://huggingface.co/spaces/apple/fastvlm-webgpu | Md Ismail Sojal

1.7K views8 months ago

FacebookMd Ismail Sojal

FastVLM from Apple enables real-time captioning, with MetaQuest and test it in Virtualreality and Mixedreality. 🙌🏻 FastVLM, is a Vision language model 85x faster and 3.4x smaller than anything before. It can understand both visual and text, it runs in real time, has the potential to be run on device. - https://machinelearning.apple.com/research/fast-vision-language-models To set it up, cast the Meta Quest view on the web or using the Meta Quest Developer Hub (for a wider field of view using th

FastVLM from Apple enables real-time captioning, with MetaQuest and test it in Virtualreality and Mixedreality. 🙌🏻 FastVLM, is a Vision language model 85x faster and 3.4x smaller than anything before. It can understand both visual and text, it runs in real time, has the potential to be run on device. - https://machinelearning.apple.com/research/fast-vision-language-models To set it up, cast the Meta Quest view on the web or using the Meta Quest Developer Hub (for a wider field of view using th

609 views8 months ago

FacebookMd Ismail Sojal

This is cool 🔥 Apple releases FastVLM and MobileCLIP2 on Hugging Face, along with a real-time video captioning demo (in-browser WebGPU) The models are up to 85x faster and 3.4x smaller than previous work, enabling real-time VLM applications! 🤯 It can even do live video captioning 100% locally in your browser (zero install). Huge for accessibility! | 20playtesters

This is cool 🔥 Apple releases FastVLM and MobileCLIP2 on Hugging Face, along with a real-time video captioning demo (in-browser WebGPU) The models are up to 85x faster and 3.4x smaller than previous work, enabling real-time VLM applications! 🤯 It can even do live video captioning 100% locally in your browser (zero install). Huge for accessibility! | 20playtesters

372 views8 months ago

Facebook20playtesters

Apple's FastVLM and MobileCLIP2: 85x faster, 3.4x smaller AI models | Clem Delangue 🤗 posted on the topic | LinkedIn

Apple's FastVLM and MobileCLIP2: 85x faster, 3.4x smaller AI models | Clem Delangue 🤗 posted on the topic | LinkedIn

147 views8 months ago

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I trained a 12M parameter LLM on my own ML framework using a Rust backend and CUDA kernels for flash attention, AdamW, and more.Wrote the full transformer architecture, and BPE tokenizer from scratch.The framework features:- Custom CUDA kernels (Flash Attention, fused LayerNorm, fused GELU) for 3x increased throughput- Automatic WebGPU fallback for non-NVIDIA devices- TypeScript API with Rust compute backend- One npm install to get started, prebuilt binaries for every platformTry out the model f

787.5K views1 month ago

x.comAadi Kulshrestha

The era of 1-bit LLMs is here — now with WebGPU acceleration! 🤯It's incredible to think that a quantized 1.7B model (just 290MB in size) can run at ~100 tokens per second entirely in your browser.Try the demo yourself 👇

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YouTubeFireship

Techinsixty | AI | Apps | Web on Instagram: "FastVLM delivers lightning-fast video captioning with up to 85× speed boosts and 3.4× smaller size, all running 100% locally in your browser with no installs. MobileCLIP2 brings state-of-the-art vision-language understanding to mobile devices, achieving high zero-shot accuracy with 2× smaller models and 2.5× lower latency. Both are fully open-source, privacy-first, and developer-friendly, unlocking new possibilities in accessibility, AR, and creative

11K views8 months ago

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