Documentation Navigation
Models & pricing / Models / Muse-Glimmer-30B
Muse-Glimmer-30B Overview
This model's data has not been fully verified and benchmarks may be missing.
Muse-Glimmer-30B is a multimodal-general AI model created by meta-models, featuring 29.8B parameters and a context window of unknown.
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.
Model Lineage & Specification
muse-glimmer-30b is meta-models's primary release in the current family.
muse-glimmer-30bComparable models
| Feature | Muse-Glimmer-30B | Muse-Glimmer-30B-GGUF | Minimax-H3-nvfp4-INT4-INT8-Convrot | BigBang-v1 |
|---|---|---|---|---|
| Description | Muse Glimmer is a 30-billion-parameter causal language model with a dedicated pe... | Muse-Glimmer-30B-GGUF is a undisclosed-parameter image text to text model develo... | Minimax-H3-nvfp4-INT4-INT8-Convrot is a undisclosed-parameter image text to vide... | SGLang is a high-performance serving framework for large language models and mul... |
| API Identifier | muse-glimmer-30b | muse-glimmer-30b-gguf | minimax-h3-nvfp4-int4-int8-convrot | bigbang-v1 |
| Parameters | 29.8B | 29.6B | — | 36.0B |
| Context Window | unknown | 131,072+ | unknown | unknown |
| License / Type | open weights | open weights | open weights | open weights |
Muse-Glimmer-30B
Muse Glimmer is a 30-billion-parameter causal language model with a dedicated pe...
muse-glimmer-30bMuse-Glimmer-30B-GGUF
Muse-Glimmer-30B-GGUF is a undisclosed-parameter image text to text model develo...
muse-glimmer-30b-ggufMinimax-H3-nvfp4-INT4-INT8-Convrot
Minimax-H3-nvfp4-INT4-INT8-Convrot is a undisclosed-parameter image text to vide...
minimax-h3-nvfp4-int4-int8-convrotBigBang-v1
SGLang is a high-performance serving framework for large language models and mul...
bigbang-v1Muse 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.