What are the hardware requirements for Muse Glimmer Ft Clicking V2?

Muse Glimmer Ft Clicking V2 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Muse Glimmer Ft Clicking V2 and how large is it?

Muse Glimmer Ft Clicking V2 is developed by merve, 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 Ft Clicking V2?

Muse Glimmer Ft Clicking V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Muse Glimmer Ft Clicking V2 by merve — VRAM 0.1GB

Name: Muse Glimmer Ft Clicking V2
Author: merve

Muse Glimmer Ft Clicking V2 is an open-source language model by merve. Features: 30b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.31.

Adapter Base model:adapter:meta-models... Base model:meta-models/muse-gl... Click-grounding Dataset:merve/molmoweb-mini Finetuned Gui-agent Image-text-to-text Lora Peft Qlora Region:us Safetensors Trl

Model Card on HF 🤗: https://huggingface.co/merve/muse-glimmer-ft-clicking-v2

Muse Glimmer Ft Clicking V2 Parameters and Internals

LLM Name	Muse Glimmer Ft Clicking V2
Repository 🤗	https://huggingface.co/merve/muse-glimmer-ft-clicking-v2
Base Model(s)	Muse Glimmer 30B meta-models/Muse-Glimmer-30B
Model Size	30b
Required VRAM	0.1 GB
Updated	2026-08-14
Maintainer	merve
Model Files	0.1 GB
Model Architecture	Adapter
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj\|k_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Muse Glimmer Ft Clicking V2 capabilities

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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

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