Muse Glimmer is a new 30B open-source model from Meta that excels in agentic tasks. Apache 2.0

36.1K Downloads

5 stars

Capabilities

Vision Input
Reasoning

Minimum system memory

26GB

Tags

30B
muse-glimmer

README

Muse Glimmer 30B

Muse Glimmer is Meta's 30B parameter open model built for local, agentic AI. It combines multi-step reasoning, reliable tool use, multimodal understanding, and failure recovery in a model designed to run on consumer hardware without requiring cloud infrastructure.

Highlights

  • Optimized for local agents: designed for autonomous workflows on high-end PCs and workstations, including multi-step planning, sequential tool invocation, and long-horizon task completion.
  • Strong agentic capabilities: trained and evaluated for tool use, coding agents, scaffold compatibility, and recovery from failed or unexpected tool results.
  • Multimodal input: uses a dedicated perception encoder to understand interleaved text and images, including screenshots, charts, and documents.
  • Controllable reasoning: supports configurable reasoning strength so users can balance quality and speed across simple and complex tasks.
  • Long-context and permissive: supports a 131K context window and is released under the Apache 2.0 license.

Custom Fields

Special features defined by the model author

Reasoning Strength

: select

(default=high)

Controls the reasoning strength used in the chat template

Parameters

Custom configuration options included with this model

Repeat Penalty
Disabled
Temperature
1
Top K Sampling
64
Top P Sampling
0.95

Sources

The underlying model files this model uses