What are the hardware requirements for Virtuoso Large?

Virtuoso Large requires approximately 145.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Virtuoso Large and how large is it?

Virtuoso Large is developed by arcee-ai, a model with 72b 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 Virtuoso Large?

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

Virtuoso Large by arcee-ai — VRAM 145.5GB, 128K context

Name: Virtuoso Large
Author: arcee-ai

Virtuoso Large is an open-source language model by arcee-ai. Features: 72b LLM, VRAM: 145.5GB, Context: 128K, License: other, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/arcee-ai/Virtuoso-Large

Virtuoso Large Parameters and Internals

LLM Name	Virtuoso Large
Repository 🤗	https://huggingface.co/arcee-ai/Virtuoso-Large
Base Model(s)	Qwen/Qwen2.5-72B Qwen/Qwen2.5-72B
Model Size	72b
Required VRAM	145.5 GB
Updated	2026-08-08
Maintainer	arcee-ai
Model Type	qwen2
Model Files	3.8 GB: 1-of-37 4.0 GB: 2-of-37 3.8 GB: 3-of-37 4.0 GB: 4-of-37 4.0 GB: 5-of-37 4.0 GB: 6-of-37 3.8 GB: 7-of-37 4.0 GB: 8-of-37 4.0 GB: 9-of-37 4.0 GB: 10-of-37 3.8 GB: 11-of-37 4.0 GB: 12-of-37 4.0 GB: 13-of-37 4.0 GB: 14-of-37 3.8 GB: 15-of-37 4.0 GB: 16-of-37 4.0 GB: 17-of-37 4.0 GB: 18-of-37 3.8 GB: 19-of-37 4.0 GB: 20-of-37 4.0 GB: 21-of-37 4.0 GB: 22-of-37 3.8 GB: 23-of-37 4.0 GB: 24-of-37 4.0 GB: 25-of-37 4.0 GB: 26-of-37 3.8 GB: 27-of-37 4.0 GB: 28-of-37 4.0 GB: 29-of-37 4.0 GB: 30-of-37 3.8 GB: 31-of-37 4.0 GB: 32-of-37 4.0 GB: 33-of-37 4.0 GB: 34-of-37 3.8 GB: 35-of-37 4.0 GB: 36-of-37 3.5 GB: 37-of-37
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Virtuoso Large 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 Virtuoso Large

Best Alternatives	Context / RAM	Downloads	Likes
...R10528DistillQwen 72B Preview3	195K / 146 GB	8	7
Qwen2.5 72B	128K / 145.5 GB	13708	101
Ultiima 72B	128K / 146.1 GB	51	3
Homer V1.0 Qwen2.5 72B	128K / 146.1 GB	14	6
Ultiima 72B V1.5	128K / 146.1 GB	25	0
EVA Qwen2.5 72B V0.2	128K / 146 GB	159	22
Qwen2 72B	128K / 145.5 GB	18480	199
AceInstruct 72B	128K / 146 GB	88	18
...n2.5 72B 2x Instruct TIES V1.0	128K / 146.1 GB	49	1
Dolphin 2.9.2 Qwen2 72B	128K / 146 GB	1515	162

Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Virtuoso-Large.