What are the hardware requirements for Muse Glimmer 30B Unsloth Bnb 4bit?

Muse Glimmer 30B Unsloth Bnb 4bit requires approximately 22.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Muse Glimmer 30B Unsloth Bnb 4bit and how large is it?

Muse Glimmer 30B Unsloth Bnb 4bit is developed by unsloth, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Muse Glimmer 30B Unsloth Bnb 4bit perform on standard benchmarks?

Muse Glimmer 30B Unsloth Bnb 4bit has the following published scores: LMSYS ELO 1426. Compare against reference models on this page or on the LLM Explorer leaderboards.

Muse Glimmer 30B Unsloth Bnb 4bit by unsloth — VRAM 22.2GB

Name: Muse Glimmer 30B Unsloth Bnb 4bit
Author: unsloth

Muse Glimmer 30B Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 30b LLM, VRAM: 22.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.39, ELO: 1426.

Arxiv:2504.13181 Arxiv:2602.06036 4-bit 4bit Base model:meta-models/muse-gl... Base model:quantized:meta-mode... Bitsandbytes Conversational Endpoints compatible Image-text-to-text Meta Muse glimmer Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Muse-Glimmer-30B-unsloth-bnb-4bit

Muse Glimmer 30B Unsloth Bnb 4bit Benchmarks

LMSys ELO 1426 vs 1272 (so35) 12.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Muse Glimmer 30B Unsloth Bnb 4bit Parameters and Internals

LLM Name	Muse Glimmer 30B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Muse-Glimmer-30B-unsloth-bnb-4bit
Base Model(s)	Muse Glimmer 30B meta-models/Muse-Glimmer-30B
Model Size	30b
Required VRAM	22.2 GB
Updated	2026-08-12
Maintainer	unsloth
Model Type	muse_glimmer
Model Files	2.7 GB: 1-of-5 4.9 GB: 2-of-5 5.0 GB: 3-of-5 5.0 GB: 4-of-5 4.6 GB: 5-of-5
Quantization Type	4bit
Model Architecture	MuseGlimmerForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	5.15.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad\|>

Rank the Muse Glimmer 30B Unsloth Bnb 4bit 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

Quantized Models of the Muse Glimmer 30B Unsloth Bnb 4bit

Model	Likes	Downloads	VRAM
...ttVision Muse Glimmer 30B LoRA	1	14	0 GB

Best Alternatives to Muse Glimmer 30B Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Muse Glimmer Q4 MLX	128K / 15.7 GB	5949	6
Muse Glimmer 30B 8bit	0K / 11.6 GB	2935	2
Muse Glimmer 30B OptiQ 4bit	0K / 19.9 GB	360	1
Muse Glimmer 30B MLX 8bit	0K / 33.4 GB	107	1
...use Glimmer 30B Hermes Agentic	0K / 59.6 GB	37	2
Muse Glimmer 30B 4bit	0K / 19.4 GB	0	11
...immer 30B Abliterated MLX 6bit	0K / 26.4 GB	1010	1
Muse Glimmer 30B	0K / 59.6 GB	0	1052
Muse Glimmer 30B	0K / 59.6 GB	25869	12
Muse Glimmer 30B AWQ INT4	0K / 24.1 GB	985	8

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Muse-Glimmer-30B-unsloth-bnb-4bit.