Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
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Meta and Apple’s CEOs are publicly supporting each company’s work on Muse Spark Open. www.theverge.com/news/1012293...
Meta와 Apple의 CEO들이 각사가 Muse Spark Open에서 진행한 작업을 공개적으로 지지하고 있습니다. www.theverge.com/news/1012293...
6좋아요
Meta's massive multimodal coding agent 🦾 Meta released Muse Spark Open, an 816B-parameter multimodal MoE model for agentic coding, calling it the most capable US open-weight model. Image: Hugging Face Blog
5좋아요
Artificial analysis shows this: underperforming Qwen3.8 Flash Next and GLM 5.3 Flash, both of which you can run on a single B300 . I think Meta has a bit of catching up to do in the open-weight space. As an aside, it's really unfortunate t…
인공 분석 결과는 이렇습니다: 성능이 낮은 Qwen3.8 Flash Next와 GLM 5.3 Flash, 둘 다 단일 B300에서 실행할 수 있습니다. Meta가 오픈 웨이트 분야에서 좀 따라잡아야 할 필요가 있는 것 같아요. 덧붙이자면, 정말 안타까운 점은…
Like I said last week. I think zucks original llama thesis is proving more correct by the week. The rent market on intelligence never materialized, if you have THE frontier model, you can charge rent (for a few weeks, maybe month). But aft…
Since there are many comments here arguing that this is not open weight, I looked at the license. Basically, you're free to use this except this clause: > If the Licensee or any of its affiliates provide a third party with access to artifi…
여기 많은 댓글들이 이게 오픈 웨이트가 아니라고 주장하고 있어서, 제가 라이선스를 살펴봤어요. 기본적으로, 다음 조항을 제외하고는 자유롭게 사용할 수 있습니다: > 라이선시나 그 계열사가 제삼자에게 artifi…에 대한 접근을 제공하는 경우
They've done considerable effort in making sure this model can run on basically every model runner, from Unsloth to MLX, https://dev.meta.ai/docs/muse-spark-open/deploy
re: "Apple’s unified memory architecture lets the M5 Ultra's integrated GPU use up to 512 GB per Mac Studio, so two machines can hold an entire model. And the chip’s 1.2 TB/s of memory bandwidth is fast enough to read the small slice each …
I find it interesting how companies doing open weight models are shifting from advertising them as "the best" to "the best in the US/EU". One week ago Mistral advertised their model as "significantly outperforming any open-weight model dev…
흥미롭게도, 오픈 웨이트 모델을 하는 회사들이 모델을 "최고"라고 광고하는 것에서 "미국/유럽에서 최고"라고 광고하는 쪽으로 옮겨가고 있어요. 일주일 전에 Mistral은 자기네 모델이 "공개된 웨이트를 가진 어떤 모델보다도 훨씬 뛰어난 성능을 보인다"고 광고했었는데요.
I think a lot of people in this thread are openly dismissive: "oh its just open claw, anyone can and many have build that". I think what they are missing is the fact that there are not that many teams in the world that can deploy muse like…
Glad that Meta is back on the open weights train in force.
39 on AA[1], about the same as Deepseek v4.1 flash and Mimo 2.5 Flash. Behind Glm 5.3 flash and Qwen3.8-Flash-Next [2] [1] https://artificialanalysis.ai/models/muse-spark-open [2] https://artificialanalysis.ai/models/open-source?models=mim…
Zuck said by himself that they will release the weights of Muse Spark 1.2, and now we only get that one. At least they bench similarly bad for the size on Artificial Analysis
I have just tried to download the models, but it is not that simple, because they are "gated models". This means that you must first create a personal account at Huggingface.co, then you must fill a request form for Meta, including whom yo…
Pretty sweet. I wonder if they can continue to distill this down so it runs smaller. I think we're at a point where more intelligence isn't really needed for a lot of use cases.
꽤 괜찮네요. 이걸 더 작게 돌아가도록 계속 증류해낼 수 있을지 궁금하네요. 많은 사용 사례에서 더 이상의 지능은 사실 필요하지 않은 지점에 와 있다고 생각해요.