Meta to Open-Source 30B Muse Glimmer, Tops Open-Source Benchmarks

Multiple leaks and benchmark data indicate that Meta is about to release a new open-source large model codenamed Muse Glimmer. The model has 30 billion (30B) parameters, uses the Apache 2.0 license, and its configuration files and benchmark scores have been exposed on Hugging Face and Artificial Analysis. This marks Meta's renewed push into the open-weight model ecosystem after the Llama series.

Confirmed

• Model parameters and license: According to Artificial Analysis's test page and leaked Hugging Face config files, Muse Glimmer has 30B parameters and uses the Apache 2.0 open-source license.
• Performance: Benchmark data shows the model (Muse Glimmer high) performs excellently, topping open-source leaderboards.
• Future plans: Community sources indicate Meta also plans to open-source Muse Spark 1.2. As reported by @haider1, Muse Spark 1.2 matches GPT-5.6 Terra and Opus 4.8 in benchmarks, with API costs only one-third of Terra's.

Unconfirmed

• Architecture details: Some leaks suggest the model uses knowledge distillation from Muse Spark and has an architecture similar to Gemma 4 (a derivative of Llama 3 architecture), but this remains speculative.

Why it matters

• Reshaping the open-source landscape: According to early testers, while the model has not yet reached the ceiling of open-source models from Chinese vendors and lags behind closed-source frontier models, it is already the strongest non-Chinese open-source model released globally in the past year. Commentators believe this will be the largest open-weight model from Meta's ecosystem since Llama 3 and Llama 4, potentially reclaiming the top non-Chinese open-source position.

2026-08-10 ~ 2026-08-11 · 6 related posts

Full story(8 episodes)→

• Episode 1: Meta Open-Sources 30B Muse Glimmer for On-Device Agents(2026-08-10, 108 posts)
• Episode 2: Meta to Open-Source 30B Muse Glimmer, Tops Open-Source Benchmarks(2026-08-10, 6 posts)
• Episode 3: Leaked Architectures of New 30B to 400B Parameter Models Spark Discussion(2026-08-10, 2 posts)
• Episode 4: llama.cpp Adds Day-0 Support for Meta's Muse Glimmer(2026-08-10, 2 posts)
• Episode 5: Meta's Open-Source Muse Glimmer 30B Impresses in On-Device Agent Tests(2026-08-11, 14 posts)
• Episode 6: Muse Glimmer Tested: Reaches 92% of Qwen's Intelligence with 1/3 Compute(2026-08-11, 2 posts)
• Episode 7: Meta Releases Local Open-Source LLM as OpenAI Unveils Unrestricted Safety Model(2026-08-12, 2 posts)
• Episode 8: Single GH200 Hits 3323 tok/s in Muse Glimmer 30B Inference(2026-08-12, 3 posts)

• Meta Returns to Open Source: Leaked 30B Parameter Model Muse Glimmer — iScienceLuvr · 2026-08-10
• [source] Meta to Open Source Muse Glimmer 30B and Muse Spark 1.2 — insumanth · 2026-08-10
• Leaked Meta 30B Open Model Architecture Fuses Gemma 4 and Vision — ivan_bezdomny · 2026-08-10
• [source] Meta to Release 30B Model, Claiming Best Non-Chinese Open Weights — ivan_bezdomny · 2026-08-10
• [source] Meta's Muse Glimmer leaks: 30B params tops open-weight reasoning charts — ArtificialAnlys · 2026-08-11
• Meta's Muse Spark 1.2 Reportedly Matches GPT-5, Open Weights Coming Soon — haider1 · 2026-08-11