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Meta Muse Glimmer: local agent model via Ollama

Meta's Muse Glimmer-30B — distilled from their internal flagship, scoring 94.7% on AIME 2026 and 76% on real coding tasks — is now available locally via Ollama.

01meta-models/Muse-Glimmer-30B 1.8k541k downloads/mo30B paramsimage-text-to-text

Meta Muse Glimmer-30B is an open multimodal model distilled from Meta's internal flagship Muse Spark, tuned for local deployment on consumer hardware with 24–32 GB VRAM. It was built for always-on autonomous agents: tool use, code writing, failure recovery when tool calls go wrong, and multi-step reasoning across text and images. According to Meta's official benchmarks, it scores 94.7% on AIME 2026 (math olympiad), 76.0% on SWE-Bench Verified (real-world coding), and 75.5% on MCP Atlas (agent evaluation). The context window is 128,000 tokens. Licensed under Apache 2.0. Run locally via: ollama run muse-glimmer.

Why a vibe-coder should care

Muse Glimmer brings Meta's strongest reasoning to local hardware — a model that scores 94.7% on math olympiad problems and 76% on real coding tasks without any cloud dependency. Particularly useful for long agent workflows where you can't afford rate limits or per-token costs.

How to install

Copy this and send it to your agent — Claude Code, Codex, any of them:

Install Meta Muse Glimmer locally: ollama run muse-glimmer — show me how to configure it as a persistent agent for long multi-step tasks

A Mac with 32 GB of RAM or more, or a GPU with 24 GB — the model takes 18 GB.

Open on Hugging Face