Muse Glimmer is now available

Muse Glimmer [ollama.com/library/muse-glimmer], Meta's newest open model and the first released by Meta Superintelligence
Labs, is now available on Ollama. Muse Glimmer is a 30B multimodal model built for agent workloads that run locally.

Download model [ollama.com/library/muse-glimmer]

With Ollama, you can use Muse Glimmer to power coding agent applications such as Claude Code, Codex, Pi and more, as well as
long-running personal assistants such as OpenClaw and Hermes.

To download and run Muse Glimmer locally, first download Ollama [ollama.com/download], then run:

ollama run muse-glimmer

Ollama's MLX engine provides state-of-the-art performance on Apple Silicon, with support for DFlash and image input:

ollama run muse-glimmer:30b-mlx

Power coding agents locally

To run Muse Glimmer with Claude Code, run:

ollama launch claude --model muse-glimmer

For a lighter-weight coding agent, try Pi [pi.dev]:

ollama launch pi --model muse-glimmer

For personal assistant frameworks such as OpenClaw and Hermes, use:

ollama launch openclaw --model muse-glimmer

ollama launch hermes --model muse-glimmer

ollama launch also works with Codex, OpenCode, Copilot, and more. See all integrations [docs.ollama.com/integrations].

Muse Glimmer also supports controllable reasoning strength: low, medium, high, and xhigh. Use high for complex coding and agentic
tasks, and lower strengths when speed matters more.

State-of-the-art multimodal performance on Apple Silicon

With Ollama 0.32.7, Ollama's MLX engine [ollama.com/blog/mlx-performance] now supports DFlash, building on previous
multi-token prediction (MTP) support [ollama.com/blog/faster-gemma-4-mlx-mtp] for 1.5-1.8x faster performance.

With new image input support in the MLX engine, coding agents can now perform low-latency, back-to-back tool calling on tasks that
require images, such as:
* Building websites or applications from a drawing or mockup

* Computer use applications powered by screenshots

* Reading documents, receipts, and charts

If you have any feedback, reply directly to this email or join Ollama's Discord [discord.gg/ollama].

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