What are the hardware requirements for Muse Glimmer NVFP4?

Muse Glimmer NVFP4 requires approximately 19.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Muse Glimmer NVFP4 and how large is it?

Muse Glimmer NVFP4 is developed by RadixArk, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Muse Glimmer NVFP4?

Muse Glimmer NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Muse Glimmer NVFP4 by RadixArk — VRAM 19.7GB

Name: Muse Glimmer NVFP4
Author: RadixArk

Muse Glimmer NVFP4 is an open-source language model by RadixArk. Features: 30b LLM, VRAM: 19.7GB, LLM Explorer Score: 0.32.

8-bit Base model:meta-models/muse-gl... Base model:quantized:meta-mode... Conversational Image-text-to-text Modelopt Muse-glimmer Muse glimmer Mxfp8 Nvfp4 Quantized Region:us Safetensors Sglang Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/RadixArk/Muse-Glimmer-NVFP4

Muse Glimmer NVFP4 Parameters and Internals

LLM Name	Muse Glimmer NVFP4
Repository 🤗	https://huggingface.co/RadixArk/Muse-Glimmer-NVFP4
Base Model(s)	Muse Glimmer 30B meta-models/Muse-Glimmer-30B
Model Size	30b
Required VRAM	19.7 GB
Updated	2026-08-11
Maintainer	RadixArk
Model Type	muse_glimmer
Model Files	4.3 GB: 1-of-5 4.3 GB: 2-of-5 4.2 GB: 3-of-5 4.3 GB: 4-of-5 2.6 GB: 5-of-5
Model Architecture	MuseGlimmerForConditionalGeneration
Model Max Length	131072
Transformers Version	5.15.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad\|>

Rank the Muse Glimmer NVFP4 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Muse Glimmer NVFP4

Best Alternatives	Context / RAM	Likes
Muse Glimmer 30B	0K / 59.6 GB	1052
Muse Glimmer 30B Heretic	0K / 59.2 GB	8
Muse Glimmer 30B Bf16	0K / 15.1 GB	6
...e Glimmer 30B Abliterated BF16	0K / 59.6 GB	1

Note: green Score (e.g. "73.2") means that the model is better than RadixArk/Muse-Glimmer-NVFP4.