In the news
SGLang Adds Day-0 Support for Muse Glimmer, a Multimodal Model Built for Local Agentic Workflows
LMSYS · Published · 3 min read
In 30 seconds
- What happened
- SGLang added immediate support for Muse Glimmer, a 30B multimodal model optimized for local agentic workflows with 128k token context.
- Why it matters
- Matters for engineers deploying AI agents locally on consumer GPUs, Apple Silicon, or workstations who need fast inference with low latency.
- Watch out
- Performance gains from speculative decoding vary significantly by hardware and precision; MLX backend on Apple Silicon lacks speculative decoding support.
- agent
- agentic
Who else ran this
- Meta is back with Muse Glimmer: local, agentic, multimodal, and open sourceHugging Face
- Muse Glimmer from Meta Superintelligence Labs is now available on OllamaOllama
- Run Local Agentic AI Workflows with Meta’s Muse Glimmer on NVIDIANVIDIA Developer
The same event, reported by other publishers we follow.
The patterns behind this
- Agentic Context Engineering (Evolving Playbook)
- Local-Distant Agent Data Protection Pattern
- Multimodal Context Integration
Each one covers how the technique works, when it earns its cost, and where it breaks.
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