What are the hardware requirements for Muse Glimmer 30B Hermes Agentic?

Muse Glimmer 30B Hermes Agentic requires approximately 59.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Muse Glimmer 30B Hermes Agentic and how large is it?

Muse Glimmer 30B Hermes Agentic is developed by vcruz305, 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 Hermes Agentic perform on standard benchmarks?

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

Muse Glimmer 30B Hermes Agentic by vcruz305 — VRAM 59.6GB

Name: Muse Glimmer 30B Hermes Agentic
Author: vcruz305

Muse Glimmer 30B Hermes Agentic is an open-source language model by vcruz305. Features: 30b LLM, VRAM: 59.6GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.43, ELO: 1426.

Arxiv:2504.13181 Arxiv:2602.06036 4bit Agentic Base model:finetune:meta-model... Base model:meta-models/muse-gl... Conversational Dataset:vcruz305/hermes-agenti... En Endpoints compatible Function-calling Hermes-agent Image-text-to-text Muse Muse-glimmer Muse glimmer Quantized Region:us Safetensors Sharded Tensorflow Tool-calling Unsloth

Model Card on HF 🤗: https://huggingface.co/vcruz305/Muse-Glimmer-30B-Hermes-Agentic

Muse Glimmer 30B Hermes Agentic 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 Hermes Agentic Parameters and Internals

LLM Name	Muse Glimmer 30B Hermes Agentic
Repository 🤗	https://huggingface.co/vcruz305/Muse-Glimmer-30B-Hermes-Agentic
Model Name	unsloth/Muse-Glimmer-30B-unsloth-bnb-4bit
Base Model(s)	Muse Glimmer 30B meta-models/Muse-Glimmer-30B
Model Size	30b
Required VRAM	59.6 GB
Updated	2026-08-18
Maintainer	vcruz305
Model Type	muse_glimmer
Model Files	50.0 GB: 1-of-2 9.6 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	MuseGlimmerForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad\|>
Torch Data Type	float16

Rank the Muse Glimmer 30B Hermes Agentic 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 30B Hermes Agentic

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
Muse Glimmer 30B 4bit	0K / 19.4 GB	0	11
...e Glimmer 30B Unsloth Bnb 4bit	0K / 22.2 GB	0	7
...immer 30B Abliterated MLX 6bit	0K / 26.4 GB	707	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 vcruz305/Muse-Glimmer-30B-Hermes-Agentic.