unsloth/Muse-Glimmer-30B-GGUF
image-text-to-text model by unsloth
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Authors: Meta Superintelligence Lab Model Release Date: August 2026 License: Apache 2.0 Muse Glimmer is a 30-billion-parameter causal language model with a dedicated perception encoder, distilled from Muse Spark and purpose-built for autonomous agentic tasks on consumer hardware. The model integrates multi-step reasoning, reliable tool use, multimodal understanding, and failure recovery into a single model that runs locally without requiring cloud infrastructure or network access. Building effective agents requires key capabilities working together to achieve the user’s goals. Muse Glimmer is trained and evaluated on these capabilities: Muse Glimmer was optimized for local deployment, and designed to run at practical speeds on consumer hardware without sacrificing quality. Fitting the Model on Your Device. We use quantization techniques to compress the model's weights to approximately 4-bit precision, shrinking the language model to under 20 GB. This leaves enough headroom for the model's KV cache, the perception encoder for image understanding, and…
Read the full model card ↗ · Preview checked 2026-10-29T22:30:24.793Z
Inside the original model card — Document outline
- Read our How to Run Muse Glimmer Guide!
- Muse Glimmer
- Muse Glimmer-30B Model Overview
- Optimized for Local Deployments
- Benchmarks
- Best Practices
- Trust and Safety
- Preparedness
- Train-Time Mitigations
- Intended Use
- Considerations and Limitations
- Released Artifacts
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Links from the model card
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
unsloth/Muse-Glimmer-30B-GGUF is a image-text-to-text model repository published by unsloth on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 813,749
- Cumulative likes
- 586
- Hugging Face trending score
- 11
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-10T09:11:29.000Z
- Last modified
- 2026-08-10T17:24:23.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: meta-models/Muse-Glimmer-30B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.