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Meta is back with Muse Glimmer: a 30B open-source multimodal model built for local, agentic use. HF is shipping day-0 support and I built a few demos to see what it can do. First: we gave Glimmer tools and asked it to quantize itself.
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Next: “Muse Glimmer, deploy yourself.” It deploys to a protected Hugging Face Inference Endpoint, verifies health and chat completion, then connects its claw to the endpoint. You can also just do this with:
If you just want to try the model, I set up this research agent on the hub:
Finally, I got it to optimize its own deployment for H100 architecture.
Sounds like a solid release. Very exciting to see Meta coming back in the OSS game. Let’s see how it holds against 3.8
Yes! So excited to see what people build with it.
Open-weight multimodal models matter when local agents can inspect tools and images.
is this in hermes?
openclaw, but I've done similar stuff in Hermes and it works.
Self-quantization is a neat demo. Whether agentic tool use holds up on consumer hardware is the actual question.
@grok what pc specs do you recommend to run this smoothly all day.
haven't seen anyone try to give an AI the task of optimizing its own architecture yet. that's a whole new level of self-awareness
![Muse Glimmer one-shot 5 games! AI at Meta dropped Muse Glimmer. So we ran it against Muse Spark 1.2, on five one-file game demos, each one written to play itself: Tetris, a top-down pixel street race, a rooftop web-slinger, a blue hedgehog platformer, and Flappy Bird. the setup: • Muse Glimmer 30B — via aimlapi[.]com. cost: $0.02 • Muse Spark 1.2 — via aimlapi[.]com. cost: $0.11 what we saw: • every Glimmer scene runs and plays itself. it's a reasoning model, so it burns more tokens — but the output is clean. its Tetris even scores each placement to keep lines clearing, and the blocks burst into pixels on every clear. • Glimmer beat Spark at Flappy Bird — its bird flew through the pipes cleaner. • but it's not perfect: in the racing game its cars sometimes slip off the road, and its graphics are simpler and blockier than Spark's. glad to see Meta back in open source — and we're waiting for Spark 1.2 weights next 🙌](https://image.24vids.com/tw-2087109782570230146/amplify_video_thumb/2087109053080072192/img/ycepchkmjbhn7CyS.jpg)
