u/AIatMeta

Hi r/LocalLLaMA 👋 

Today we’re excited to release Muse Glimmer, a 30B open-weight model built specifically for local agent workflows. We’re releasing the weights to the community under a permissive Apache 2.0 license.

A few specs

• 30B params, dense
• Multimodal: interleaved text + images via a dedicated perception encoder
• Trained on 100+ languages
• Controllable reasoning effort (quality/speed tradeoff)

Memory footprint
At full precision, 30B needs 55+ GB, which is out of reach for consumer hardware. We quantize weights to ~4-bit, bringing the LM under 20 GB. That leaves headroom in a 24 GB or 32 GB envelope for the KV cache, the perception encoder, and the speculative decoding drafter running simultaneously. We validated minimal to no degradation on agentic tasks under compression.

Speculative decoding
Ships with a lightweight DFlash-based drafter that proposes blocks of tokens which the main model verifies in parallel. Significantly faster than token-by-token generation with identical output quality. We're also shipping quantized drafter versions so the memory overhead stays small.

A few capabilities
We trained Muse Glimmer for agentic loop tasks, including:

• End-to-end task completion (strong performance on DeepSearch QA, MCP-Atlas, 𝛕^(3)-Bench, SWE-Bench, and more)
• Function calling with precise schemas across long workflows
• Multi-step reasoning over long horizons
• Failure recovery — when a tool call fails or returns something unexpected, it's trained to diagnose and retry instead of halting. This was a deliberate training target.
• Works with OpenClaw and other agentic scaffolds
• Multimodal understanding and reasoning

Running it
Weights are up on Hugging Face. Coming soon: Ollama, LM Studio, Unsloth and torchtitan, plus optimized integrations for llama.cpp, MLX, and ExecuTorch. vLLM and SGLang for serving. Get started quickly with Together AI, Fireworks AI, and OpenRouter. We're also working with AMD, Arm, Dell, Intel, and NVIDIA on per-device optimization.

We look forward to your feedback and seeing what the community builds with Muse Glimmer.

🔗 Weights: https://huggingface.co/meta-models 
🔗 Research Blog: https://go.meta.me/museglimmer
🔗 Resources: https://developer.meta.com/ai/models/muse-glimmer/

Hi r/MetaAI – 

Today we’re excited to launch Muse Image and preview Muse Video, the first media generation models developed by Meta Superintelligence Labs.

Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark.

A few notable features:

• Presets: Meta AI now features a presets panel with suggested prompts and tools that allow you to edit photos, redesign rooms using real products, get inspiration from trends or creators, and easily share their creations with friends across Meta's apps.
• Agentic Planning: Muse Image handles complex reasoning behind the scenes. Rather than mapping a prompt to images in one shot, it’s agentic: planning the generation, looking up real-time web context, and composing multiple visual references to ensure the final image perfectly matches your creative vision.
• Easy Edits: By tapping the markup icon to sketch or annotate edits directly onto your photo, you can continuously refine styles, elements, or details without starting from scratch since Meta AI remembers the full context of your conversation.

You can try Muse Image today in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way.

We’re also sharing an early preview of Muse Video. It offers competitive performance in prompt adherence, visual fidelity, and temporal consistency. We’re investing in areas with current performance gaps, such as audio-video synchronization and physically accurate fast motion.

Learn more about both models: https://go.meta.me/bc5ab4

Learn more about what you can create with Muse Image and find prompts to get you started: https://go.meta.me/a71f0f