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Muse Glimmer 30B

Parameters

30B

Context Length

131K

Modality

Multimodal

Auxiliary Parameters

1.5B

Architecture

Dense

License

Apache 2.0

Release Date

9 Aug 2026

Knowledge Cutoff

-

API Pricing (per 1M)

Input: $0.30 · Output: $1.20

System Requirements

VRAM requirements for different quantization methods and context sizes

1,024 tokens

60.23 GB VRAM

Consumer

3x RTX 4090

24GB VRAM

Datacenter

1x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

131,072 tokens

67.00 GB VRAM

Consumer

3x RTX 4090

24GB VRAM

Datacenter

1x NVIDIA A100

80GB VRAM

Apple Silicon

1x Apple M3 Max

128GB VRAM

Architecture Diagram

Evaluation Benchmarks

Rank

#104

BenchmarkScoreRank

Graduate-Level QA

GPQA

0.835

51

high

0.49

90

Agentic Index

Artificial Analysis
high

0.09

93

Web Development

WebDev Arena

1355

96

General Text

Text Arena

1425

96

Intelligence Index

Artificial Analysis
high

0.06

305

Rankings

Overall Rank

#104

Coding Rank

#82

About Muse Glimmer 30B

Muse Glimmer 30B is a dense open-weight multimodal model distilled from Meta's Muse Spark architecture. It is optimized to execute long-horizon autonomous agent tasks efficiently on consumer-grade hardware.

Technical Specifications

Attention

Attention Structure

Grouped-Query Attention

Attention Heads

32

Key-Value Heads

2

Attention Head Dimension

128

Position Embedding

ROPE

RoPE Theta

500,000

Sliding Window Attention

Yes

Sliding Window Size

2,048

Sliding Window Ratio

75.0%

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Auxiliary Parameters

1.5B

Hidden Dimension Size

6,656

Number of Layers

52

FFN Intermediate Size (Dense)

19,968

Tokenizer

Vocabulary Size

202,048

About Muse Spark

The Muse Spark model family developed by Meta.


Other Muse Spark Models