Muse Glimmer
meta-modelsOpen Weightstextvision

Muse Glimmer

Updated Aug 15, 2026
Parameters
18.1B
Context
131,072
License
Open Weights
Updated
Aug 15, 2026

Intelligence benchmarks

Artificial Analysis indexes - compared with the best open and proprietary models

Intelligence

35.1

AA Index

Agentic

22.9

AA Index

Intelligence Index - Muse Glimmer vs. the field

Best open-weight models (you can run locally) and leading proprietary models for context.

Claude Opus 5 (max)
63.1
closed
Claude Fable 5 (with fallback)
62.1
closed
GPT-5.6 Sol (max)
60.9
closed
Grok 4.6 (high)
60.9
closed
Kimi K3
59.7
open
Qwen3.8 Max
58.1
closed
Qwen3.8 2.4T A95B
57.7
open
Muse Glimmer
35.1
open

Agentic Index comparison

Claude Opus 5 (max)
59.2
closed
Grok 4.6 (high)
58.7
closed
Qwen3.8 Max
58.4
closed
GPT-5.6 Sol (max)
57.8
closed
Qwen3.8 2.4T A95B
57.1
open
Claude Fable 5 (with fallback)
56.6
closed
Kimi K3
54.3
open
Muse Glimmer
22.9
open

Benchmark data from Artificial Analysis · updated 2026-08-15.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA83.5

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q8_0
3 of 4 quantizations fit Muse Glimmer with real runtime overhead.
Q4_K_M
10 GB
Q5_K_M
13 GB
Q8_0
19 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve RadixArk/Muse-Glimmer-NVFP4

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Muse Glimmer is a 18.1B-parameter open-weight model from Meta. It scores 35.1 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 10 GB of VRAM, placing it in the 8–12 GB GPU hardware tier.

Benchmarks

Artificial Analysis Intelligence Index - Muse Glimmer vs. leading closed models:

ModelIntelligenceCodingGPQA
Muse Glimmer35.1-83.5
Claude Opus 5 (max)63.1-93.2
Claude Fable 5 (with fallback)62.1-92.6
GPT-5.6 Sol (max)60.9-94.1
Grok 4.6 (high)60.9-94.9
Qwen3.8 Max58.1-92.7

Source: Artificial Analysis (2026-08-13).

Popularity

Muse Glimmer has 40 downloads in the last month on HuggingFace and 5 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Muse Glimmer need?

Muse Glimmer with 18.1B parameters needs approximately 10 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Muse Glimmer better than other meta-models models?

Muse Glimmer has 18.1B parameters with 131,072 context - a strong choice for general use.

What license is Muse Glimmer under?

Muse Glimmer is released under the Open Weights license, making it suitable for most commercial and personal projects.

What hardware runs Muse Glimmer well?

With 18.1B parameters, Muse Glimmer requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Muse Glimmer?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~13 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can Muse Glimmer's context window handle?

Muse Glimmer supports a 131,072-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with Muse Glimmer?

Muse Glimmer competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

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