Meta releases Muse Glimmer, an open-weight model, and plans to launch an open-weight version of its most advanced model, Muse Spark 1.2, in the coming weeks

Wall Street Journal 2026-08-11 Meghan Bobrowsky

Context & Ripple Effects

Meta had already positioned Muse Spark inside Meta AI queries and shopping mode while signaling an eventual open-source release; the new release turns that earlier commitment to release a Muse Spark version into a more concrete open-weight distribution path.

The move follows July’s public API preview of Muse Spark 1.1, which made the coding-focused model available to US developers through Meta’s hosted access channel. Meta is now pairing that channel with weights developers can use independently.

First-order effects

Developers can immediately obtain and adapt Muse Glimmer without relying solely on Meta’s API, while Meta has set expectations for an open-weight Muse Spark 1.2 release in the coming weeks.
Meta broadens the ways Muse models can reach developers: hosted API access remains available for Spark 1.1, while Glimmer creates a distributable model offering.

Second-order effects

Meta’s API offering must compete on managed access and the newest capabilities as developers that prefer local or self-managed deployment gain an open-weight alternative.
Applications built around Meta AI’s Muse Spark-backed shopping and query features gain a larger external developer ecosystem around the same model family, rather than a product limited to Meta-run services.

Third-order effects

If Meta continues releasing capable Muse variants as open weights, model distribution increasingly becomes a route to adoption for Meta’s products and developer ecosystem alongside proprietary API access.
The split between portable weights and Meta-hosted models will make the trade-off between developer control and managed, current-model access a central part of frontier-model competition.

The trend: Meta is pursuing a dual-distribution model in which open weights expand developer reach while APIs and consumer products remain routes to managed Muse capabilities.

Discussion

@finkd Mark Zuckerberg on x
Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congra…
@alexandr_wang Alexandr Wang on x
2/ just like much larger models, muse glimmer can operate as a fully capable agent via planning, tool calls, checking its own results, and failure recovery. [video]
@alexandr_wang Alexandr Wang on x
1/ big announcement today: we will be releasing an open weight version of muse spark 1.2 soon. we also are releasing muse glimmer, a 30B agentic model with open weights under apache 2.0. muse glimmer can run on 24GB of VRAM without losing agentic reliability. 🧵
@unslothai @unslothai on x
Meta releases Muse Glimmer, a new 30B open model that runs on 18GB RAM. Muse Glimmer is Apache 2.0 licensed, supports vision and is the strongest agentic model for its size. Run and train the model via Unsloth. GGUF: https://huggingface.co/... Guide: https://unsloth.ai/... [image…
@andrewyng Andrew Ng on x
Thank you Mark, Alex and the whole Meta team for your contributions to open weight AI.
@yuchenj_uw Yuchen Jin on x
That Llama is back! Exciting to see Meta is back in open-source AI. @finkd: “Open source is a positive and important force for empowering people and preventing centralization that is detrimental for both safety and the economy.” Hope more frontier labs like Anthropic and OpenAI
@clementdelangue Clem on x
Meta is back! well done @finkd @alexandr_wang! [image]
@eliebakouch Elie on x
one of the things that was also very exciting with the llama series was a very good tech report that each time pushed future open source models, would love to see that again as well!
@nrehiew_ @nrehiew_ on x
Muse Glimmer was trained directly logit distilled from Muse Spark. This means that there isn't a traditional ‘base model’ in that it was trained from the start on agentic traces. Super cool and haven't seen this approach in a while Welcome back GPT OSS [image]
@mkratsios47 Director Michael Kratsios on x
Open-weight models put American AI innovation directly into the hands of developers, researchers, and startups. This is exactly the kind of leadership @POTUS 's AI Action Plan calls for, and we're excited to see labs across the U.S. ecosystem continuing to invest in open, access…
@kylehessling1 Kyle Hessling on x
First impressions on Muse Glimmer! It's incredibly fast for a dense model, currently running an average of 208tps with a max of 274tps on a single 5090 with their DFLASH config. Comparatively, though, both using Open Code, Qwopus Coder (with thinking off) produced a much [video]
@sparkycollier @sparkycollier on x
The open model wave powered by @PyTorch is going to surprise a lot of people this year
@chetanp Chetan Puttagunta on x
Incredible move by Meta. It will be interesting to see which open source license they use for Spark 1.2. There are now many clear paths to monetize open weights should Meta choose to.
@supbagholder @supbagholder on x
Releasing the weights for Muse Spark 1.2 is all you need to know about how Watermelon is going to perform. [image]
@dryangsong Yang Song on x
I'm personally very excited to see us take this step. I've long believed that the power of AGI should be broadly distributed, and this is the first of many moves at MSL toward making superintelligence accessible to everyone.
@modestproposal1 @modestproposal1 on x
Meta's ability to stay close to the frontier and willingness to release open weights is more important to the competitive evolution of profit pools and market structure than Gemini potentially falling off the frontier
@andrewcurran_ Andrew Curran on x
META has made Muse Glimmer open weights, and in the coming weeks will soon release an open-weight version Muse Spark 1.2. Mark Zuckerberg has written an essay reaffirming META's commitment to open source, calling for unrestricted distillation, and a wide array of policy changes. …
@levie Aaron Levie on x
Meta releasing Muse Spark 1.2 as open weights is a *very* big deal. America now finally has its response to the open weights AI race. This will continue to help drive down the cost of intelligence, it allows companies to run models as they see fit, as well as allows them to pos…
@nvidiarobotics @nvidiarobotics on x
Congrats to @AIatMeta on Muse Glimmer, a 30B dense model for local AI agents, now supported on NVIDIA Jetson. 🎉 Muse Glimmer delivers up to 25 tokens/s on Jetson Orin and up to 36 tokens/s on Jetson Thor. Try it for yourself with our Jetson AI Lab tutorial 👉
@giffmana Lucas Beyer on x
Aura +1000
@altryne Alex Volkov on x
Say bye bye to LLama's and hello to the Muses of open source AI! LLama's changed the open weights AI world a few years ago, incredible to see Meta re-enforcing Open Weights! Kudos @alexandr_wang @finkd and the MSL team for this 👏
@omarsar0 Elvis on x
Given how much Meta has done for open-source AI, it only felt right that they get back in the game. This is a huge statement from Meta and a big deal for the AI ecosystem. More than that, it points to a future where it's important to own your intelligence.
@yacinemtb Kache on x
Bro is back to commoditizing the complement Right now the biggest threat to the Facebook and Google empire is OpenAI and anthropic consuming social media by being the layer in between for the average consumer
@garymarcus Gary Marcus on x
Sad to see the @nytimes confuse open-source (fully transparent) with open-weight models (less transparent; no access eg to training data). The new Meta model is open-weight but not open-source. NYT got it wrong. It is time for both the media and the public to learn this [image]
@petergostev Peter Gostev on x
Interesting that Meta is open sourcing the Spark weights. It looks like they changed the strategy recently, as I don't remember them talking about it before this comment from Mark on 5th August. And since it would have been a big PR win if Spark was open at the outset, I guess …
@jsrailton John Scott-Railton on x
UPDATE: sounds like @Meta will offer confidential, private inference for an AI agent. Zuck @finkd just said they'd offer inference" similar" to Private processing @WhatsApp offers. Little-known-fact:" WhatsApp is running the largest private AI inference I know of. Private [image]
@aiatmeta @aiatmeta on x
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 [ima…
@paddix Paddy Srinivasan on x
Great to see @Meta recommit to open weights with Muse Glimmer. We @digitalocean are eagerly awaiting Muse Spark 1.2 Open Weights!! At 57 on the Artificial Analysis Intelligence Index, open weights for @AIatMeta Spark would put near-frontier intelligence into builders' hands and […
@simonw Simon Willison on x
Muse Glimmer, the new 30B model, is available on Hugging Face right now - here's the GGUF version: https://huggingface.co/...
@jsrailton John Scott-Railton on x
Good move. We desperately need powerful open-weight models that don't come preloaded with a Chinese censorship poison chalice... Or hard-to-answer worries about national security risks.
@nvidiaai @nvidiaai on x
Great to see @AIatMeta back publishing open models 🙌 Muse Glimmer is a 30B open-weight dense model with a 120K+ context window, built for long-running agents, delivering up to 20K tokens/sec on a single GPU....
@matvelloso Mat Velloso on x
Meta's new open weights model seems to be beating Gemma on nearly every metric
@emollick Ethan Mollick on x
Spark is the big news and is a good model. Not quite at the frontier of open models from China, and still well behind the closed frontier, but the best non-Chinese open weights model released in a year. Of course, a lot depends on continuing to release new open models to keep up
@ollama @ollama on x
Muse Glimmer is now available to run with Ollama. Available today via Ollama's MLX engine with state-of-the-art-performance on Apple Silicon, Muse Glimmer can power Claude Code, Codex, and more always-on local agent workflows natively using Ollama. Additional support and
@sriramk Sriram Krishnan on x
great to see meta back launching open weight models. congratulations to @alexandr_wang and the msl team.
@_maxblade Max Blade on x
I hope you understand what this means. Local is here. Imagine a 24/7 always on, 100% private agent that runs at home. ZERO token constraints. This opens the possibilities for a TRULY helpful assistant at home that monitors your life, and constantly works 24/7 to make things
@rihardjarc Rihard Jarc on x
Means $META new bigger frontier Watermelon model is coming soon if they are willing to release Muse Spark 1.2 weights soon. The market is not yet pricing in $META becoming a serious AI model lab.
@xeophon Florian Brand on x
dropping such a banger model mere hours (or 1-2 days) before qwen3.8 is such a funny move
@xfreeze @xfreeze on x
Huge respect to Zuck and the Meta team for continuing to push open source forward Amazing work 👏
@phequals7 @phequals7 on x
everyone line up to fill the alexander wang apology form [image]
@lmstudio @lmstudio on x
Muse Glimmer 30B is live in LM Studio! It's a new open source model from Meta. Apache 2.0 license, fit right on your laptop. It is the strongest model of its size class we've tested.
@jack_w_rae Jack Rae on x
As Mark and Alex shared, we'll be open-sourcing Muse Spark 1.2 shortly — a stronger sparse model optimized for enterprise hardware!
@jack_w_rae Jack Rae on x
My expectation is that we'll continue to pack an increasing amount of intelligence into models that run on consumer hardware. But the hybrid setup — a larger cloud model for “executive intelligence” + a smaller local model for privacy/latency-sensitive tasks — is very appealing.
@jack_w_rae Jack Rae on x
Muse Glimmer is open source today! 30B dense model trained for agentic use cases. Strong on-device models are becoming more and more valuable. This use case is usually memory-constrained and emphasizes low batch sizes and low latency. It's a great fit for dense architectures. [im…
@cryptopunk7213 @cryptopunk7213 on x
got to hand it to them - meta's really turned things around recently - counted them out of open source, proved wrong - didn't think they'd catch up in model intelligence, still true but muse spark series is the cheapest workhorse - didn't think they'd be competitive on compute
@jack_w_rae Jack Rae on x
Fun demo with Muse Glimmer: ask the model to deploy itself to the HuggingFace inference endpoint and optimize the inference efficiency
@meer_aiit Meer on x
Meta is so back on open models. Alexandr Wang and co now showing up !! they just released Muse Glimmer, a 30-billion-parameter open-weights AI model built to run agent workflows locally on your personal computer. msl said the model is available now on Hugging Face under a [image]
@mehulmpt Mehul Mohan on x
Huge. I wonder if the 3rd party inference deployment cost of Muse Spark 1.2 would be same/cheaper than what meta was offering, which was cheaper than DeepSeek v4 flash!
@ramintahbaz Ramin Tahbaz on x
🇺🇸
@keennay Yannick Monye on x
Godbless you Qwen & DeepSeek, otherwise these companies would've had zero incentive to continue releasing their model weights
@vllm_project @vllm_project on x
@Meta is back in open source. Excited to announce Day-0 vLLM support for Muse Glimmer 30B, the first open-weights model from Meta Superintelligence Labs — which ships under Apache 2.0!!! 30B dense, 128K+ context, multimodal, built for local agents. Capable enough for
@nrehiew_ @nrehiew_ on x
Llama 5 basically. Super excited
@aiatmeta @aiatmeta on x
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 …
@chetaslua @chetaslua on x
Holy meta is back smoked gemma and qwen 🤯 [image]
@mark_k Mark Kretschmann on x
Meta has just open-sourced a 30B model named Muse Glimmer. It can be run locally on modest hardware! Banger move by @AIatMeta 🔥
@teortaxestex @teortaxestex on x
OK that's a pretty damn big flex. Glimmer seems amazing, but Spark 1.2 will let us finally see how advanced Meta's research program really is. What's your idea of what it's like? [image]
@ylecun Yann LeCun on x
@finkd Good move. Bravo 👏👏👏
@hadas_gold Hadas Gold on x
A lot of ppl were disappointed when meta seemingly left open weight models behind, interesting step by them
@zaidmukaddam Zaid on x
Meta gave Muse it's Llama movement! So happy to see them back like this!
@amd @amd on x
Build with Meta's new open-weight model on AMD. AMD is enabling day-zero support for Muse Glimmer, the new open-weight model from Meta Superintelligence Labs on AMD Ryzen™ AI Max+ systems and Radeon™ AI PRO R9700 GPUs. With @lmstudio making local AI accessible and Lemonade [image…
@ns123abc Nik on x
🚨 BREAKING: META superintelligence labs is open-sourcing the Muse models > Muse Glimmer: 30B dense, weights OPEN NOW on Hugging Face > runs locally on 24GB VRAM > Muse Spark 1.2: weights coming “soon” The Zucc is BACK [image]
@jun_song Jun Song on x
New 30B small model from Meta Also Muse Spark 1.2 will be released too. Local AI era is here.
@kimmonismus @kimmonismus on x
Huge: Meta says it will resume releasing open-source AI models “soon” as part of a much larger plan: delivering personal superintelligence to billions of people! Zuckerberg commits to free or affordable access, personal agents with a private mode even Meta cannot inspect, and [im…
@xeophon Florian Brand on x
Apache 2.0 🥹 first Gemma, now Meta we are so back [image]
@scaling01 @scaling01 on x
“Soon we'll also release the weights for Muse Spark 1.2” Nice
@davidondrej1 David Ondrej on x
Zuck is going open-source again!!
@iamemily2050 Emily on x
What a beautiful day, people will talk about it for a long time.
@tmychow Trevor on x
personal superintelligence is superintelligence for every person
@junliwang2021 Junli Wang on x
Can we name it Llama5🥹
@aiatmeta @aiatmeta on x
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 [v…
@jehangeer_hasan Jehangeer H on x
Open weights + real planning/tool use under 20GB? Muse Glimmer just made serious local agents accessible to everyone. #meta
@alexandr_wang Alexandr Wang on x
3/ muse glimmer was developed with its own architecture and recipe, optimized for its size and agentic performance requirements. [image]
@alexandr_wang Alexandr Wang on x
excited to be releasing open weights for muse glimmer today, a 30b model that runs on a single consumer gpu, with open weights for a version of muse spark 1.2 coming soon. two very different models, both headed into people's hands, with more to come.
Armand Ruiz Armand Ruiz on linkedin
Open Source 🇺🇲 Today we release 30B open-weights Muse Glimmer, runnable on a single consumer GPU! Muse Spark 1.2 open weights are coming soon. …
Evgenia Rodionova Evgenia Rodionova on linkedin
Today, Meta published its manifesto, The Future Is for Everyone. One of Mark Zuckerberg's central arguments is that companies will become smaller while their impact grows. …
Jakob Steinschaden Jakob Steinschaden on linkedin
It's pretty rare that I find myself agreeing with Mark Zuckerberg, but today is one of those days. — The Meta CEO is currently making the case for why distilling AI models should be legal. …
Nicola Mendelsohn CBE Nicola Mendelsohn CBE on linkedin
The defining question of our age isn't whether we build superintelligence, but who gets to use it. — Mark has written something genuinely thoughtful …
Anton Protopopov Anton Protopopov on linkedin
Excited to share Muse Glimmer - an open-weight agentic model tailored for local setup with a single GPU. — It was quite a journey and I'm glad to be part of the team behind the model. …
@timkellogg.me Mr. Tim on bluesky
Muse Shimmer 30B — very cool that they're launching it with speculative decoding instead of butchering the core model with MoE — research.meta.ai/blog/introdu... [image]
@metacurity.com Cynthia Brumfield on bluesky
No one should be forced to read anything written by Mark Zuckerberg, much less a 6,500-word essay. [embedded post]
@hypervisible.blacksky.app @hypervisible.blacksky.app on bluesky
I tried to read it, but one of the first tenets is promising everyone a magic being that will grant all their wishes.
r/MU_Stock r on reddit
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r/technology r on reddit
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