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Muse Glimmer can complete multi-step agentic tasks end-to-end from a single natural language prompt. In this demo, it autonomously discovers a local Home Assistant instance via network tool calls, queries device APIs, writes a responsive HTML/CSS/JS dashboard from scratch, and deploys a local server for verification.

AI at Meta

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52,924 görüntüleme • 2 ay önce •via X (Twitter)

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AI at Meta profil fotoğrafı

AI at Meta2 ay önce

For a local agent to be practical, generation latency must be low enough to maintain workflow continuity. To run Muse Glimmer on consumer hardware without degrading quality, we used quantization to shrink the language model to under 20GB and a lightweight DFlash drafter model to accelerate token generation. As a result, Muse Glimmer is fast enough for fluid conversation and real-time agent interaction, all running entirely on your device.

AI at Meta profil fotoğrafı

AI at Meta2 ay önce

Introducing Muse Glimmer, an open-weight 30B-parameter model optimized for local, always-on agent workflows. Muse Glimmer delivers strong performance on key agentic use cases and benchmarks compared with leading models in its size category, and is designed to run entirely on consumer hardware like a Mac or PCs with performant GPUs. In keeping with our long tradition of sharing fundamental AI research, we’re releasing model weights under a permissive Apache 2.0 license. 🧵👇

AI at Meta profil fotoğrafı

AI at Meta2 ay önce

🔗 Download Muse Glimmer on @huggingface: 🔗 Read the technical blog: 🔗 Find resources:

Krish Dasgupta profil fotoğrafı

Krish Dasgupta2 ay önce

You guys are so backkkk !!!!!

AI at Meta profil fotoğrafı

AI at Meta2 ay önce

Now its time to build 🚀

Krish Dasgupta profil fotoğrafı

Krish Dasgupta2 ay önce

Yessssss !!!! Building Something on SRE. Time to put Glimmer in it too !!! Let’s goooooooo. Will be posting the demo here soon !!!

Sanjay Bhadra 🇮🇳 profil fotoğrafı

Sanjay Bhadra 🇮🇳2 ay önce

This Muse Glimmer demo is compelling because it completed the entire local-agent loop: discover Home Assistant, understand its APIs, build a dashboard, launch it, and verify it. If it holds up beyond the demo, I can see many private home networking, camera, and automation projects being attempted by non-tech or semi-tech people!

d5niel profil fotoğrafı

d5niel2 ay önce

Make a deal with @opencode to give every user $120 usage with meta models atleast you will have users 😭

Mohith kumar profil fotoğrafı

Mohith kumar15 gün önce

Glimmer finding a local Home Assistant instance through network tools is a cool demo. I'm really glad I came across this, so I put you up on ShipWithMuse, my showcase of the best Muse builds. Take a look 👉

Normarayr profil fotoğrafı

Normarayr2 ay önce

Can you guys tell your demo person to use iTerm2 or Ghostty? The rendering artifacts really paints a bad picture for opencode like apple using 2011 android mockups

LADI ⟡⭐ profil fotoğrafı

LADI ⟡⭐2 ay önce

Big move for open source Making strong models like Muse Glimmer available to run locally is a huge step

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