🤖Muse Glimmer: A 30B-Parameter Model for Local AI Agents
A local 30B model that runs anywhere, anytime
TL;DR
Introducing Muse Glimmer, a 30-billion-parameter model optimized for always-on local agent workflows. Runs on Mac or PC with a single consumer GPU, enabling seamless offline AI.
Muse Glimmer is a groundbreaking 30B parameter model designed to run locally on your device, making it perfect for developers who need AI without an internet connection. This model delivers strong performance in agentic use cases and benchmarks compared to leading models of similar size. It's optimized for local use with integrations coming soon for llama.cpp, MLX, and ExecuTorch. Muse Glimmer is available now on Hugging Face and supports over 100 languages.
Key Points
Muse Glimmer is a 30-billion-parameter model optimized for local use on Mac or PC with a single consumer GPU.
The model supports over 100 languages and performs well in agentic benchmarks like DeepSearch QA, MCP-Atlas, and SWE-Bench.
Integrations with llama.cpp, MLX, ExecuTorch, vLLM, and SGLang will be available soon for local deployment.
Fits on your device: Muse Glimmer can be compressed to under 20 GB at 4-bit precision, enabling fast generation through speculative decoding.
Model weights are open-sourced under Apache 2.0 license, allowing developers to run it locally or scale with edge frameworks.
Why It Matters
If you're developing local AI agents that need offline capabilities, Muse Glimmer is a game changer. It offers strong performance in agentic use cases and can be deployed on consumer hardware, making it accessible for teams of all sizes. The model's ability to run locally without internet access opens up new possibilities for real-time interaction and privacy.
Frequently Asked Questions
Why does this matter?
If you're developing local AI agents that need offline capabilities, Muse Glimmer is a game changer. It offers strong performance in agentic use cases and can be deployed on consumer hardware, making it accessible for teams of all sizes. The model's ability to run locally without internet access opens up new possibilities for real-time interaction and privacy.
What happened?
Introducing Muse Glimmer, a 30-billion-parameter model optimized for always-on local agent workflows. Runs on Mac or PC with a single consumer GPU, enabling seamless offline AI.
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