Executorch: Open-source ondevice AI from @pytorch
@Executorch
https://github.com/pytorch/executorch - end-to-end solution for on-device inference and training
🔥 On-Device Audio Generation with ExecuTorch + @StabilityAI | @Arm Demo by Gian Marco Iodice. 🎥 Watch here: youtube.com/watch?v=PEa4Am…
youtube.com
YouTube
On-Device Audio Generation with ExecuTorch + Stability AI | Arm Demo...
Running Optimized @PyTorch Models on @Cadence DSPs with ExecuTorch We've added support to run ExecuTorch on Tensilica HiFi DSP Family! Check out our blog for more details! community.cadence.com/cadence_blogs_…
youtube.com/watch?v=41PKDl… @qualcomm engineers Derrick Johnson and Kartikey Rawat going through running LLMs on-device with Qualcomm Hardware with ExecuTorch
youtube.com
YouTube
Build Along: Run LLMs Locally on Qualcomm Hardware Using ExecuTorch
Looking for a react native solution for LLMs?
Announcing React Native ExecuTorch v0.4.0! 🎉 What’s new: 🧠 More LLMs – Integrate a wide range of LLMs into your React Native app 🔧 Tool calling capabilities – Enable LLMs to dynamically interact with APIs & tools 🔍 Text Embedding Models – Transform text into vectors for…
ExecuTorch v0.6.0 is now live This release includes: * Significant usability and stability fixes * Windows support * Ready Made Packages for iOS and Android * Native Object-C and Swift APIs * New OpenVino backend The full details here github.com/pytorch/execut…
Excited to introduce low-bit operators for Arm CPUs in TorchAO! Seamlessly works across all PyTorch surfaces including eager, torch.compile, AOTI, and ExecuTorch. Check out the details here: pytorch.org/blog/hi-po-low…
I'm happy to note that with the merge of github.com/pytorch/torchc…, my work on fp16/bf16 GEMV kernels in PyTorch for x86 CPUs without fp16/bf16 hardware support should run out of the box in torchchat on main. It looked good in my tests, but I'm interested in feedback!
dot com hype all over again. You know when you've been doing things for a while when you start seeing the same patterns return
Driving around SF. Omg this is crazy I can't believe there's billboards advertising cloud GPUs on the streets of SF, the hype is totally out of control. That said, actually I would like some more GPU and I haven't heard of this company yet this looks interesting.
Great work by Software Mansion to enable seamless integration and full offline inference for Llama models in mobile apps.
What if we told you LLaMA 3.2 runs offline in @reactnative with just a few lines of code? 📲🦙 AI integration has never been this easy! Check out the video about our latest, ExecuTorch-powered React Native library 👀 github.com/software-mansi…
🚀 Over 120 innovators across 22 teams are hacking away for the next 2 days, crafting the future of AI-powered on-device solutions with @Meta, @huggingface! Big thanks to #entrepreneurfirst, #scaleway, and @ekimetrics and Shoutout to @juliadenoly, @mergennachin, and many more!
Check out this awesome slide deck by @tarantulae on #PyTorch 2.0 internals (Dynamo, AOTAutograd, Inductor, and more). Packed with lots of details! 🚀 #PyTorch #MachineLearning drive.google.com/file/d/18YZVfu…
Kudos to @kimishpatel from ExecuTorch team in his collaboration with CoreAI team and making this possible. These support safe input/output in lightweight and multimodal applications. Check out the papers here: 1B ➡️ go.fb.me/o8y8m1 Vision ➡️ go.fb.me/1cb0xh
Following the release of our latest system level safeguards, today we're sharing new research papers outlining work on Llama Guard 3 1B & Llama Guard 3 Vision that support input/output safety on the edge and in multimodal prompts.
Join us in Paris on November 22nd at @ekimetrics HQ for an exciting two-day hackathon to create innovative, cutting-edge AI that run directly on devices. Work together with @huggingface , @PyTorch and @Scaleway engineers for on-device ML! Apply here 👉 lu.ma/g0fjf4mb
✨#ExecuTorch is powering the quantized 1B and 3B Llama models with @AIatMeta ai.meta.com/blog/meta-llam…
We've been busy building ExecuTorch and collaborating with @Qualcomm to bring Llama 3.2 large language models to @Snapdragon devices. Check out github.com/pytorch/execut… for more.
✨️ @Qualcomm and @Meta collaborate to bring Llama 3.2 large language models to @Snapdragon devices 😍 ✨️ Qualcomm and Meta have partnered to support the Llama 3.2 large language models on Snapdragon platforms, enabling on-device AI with improved responsiveness, privacy, and…
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