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Virtuoso Medium V2 by arcee-ai

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Virtuoso Medium V2 is an open-source language model by arcee-ai. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-32b   Conversational   Deploy:azure   Endpoints compatible   Merge   Mergekit   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Virtuoso-Medium-v2 

Virtuoso Medium V2 Benchmarks

LLME Score: 0.18074
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Virtuoso Medium V2 (arcee-ai/Virtuoso-Medium-v2)
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Virtuoso Medium V2 Parameters and Internals

LLM NameVirtuoso Medium V2
Repository 🤗https://huggingface.co/arcee-ai/Virtuoso-Medium-v2 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B
Model Size32b
Required VRAM65.7 GB
Updated2026-04-19
Maintainerarcee-ai
Model Typeqwen2
Model Files  5.0 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Virtuoso Medium V2

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Context / RAM
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Likes
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB243
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB153
Openbuddy Qwq 32B V25.2q 200K195K / 65.8 GB94
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB82
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB11215861551
Qwen2.5 32B128K / 65.5 GB162819175
Baichuan M2 32B128K / 65.8 GB110798120
RomboUltima 32B128K / 20.7 GB266
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB7917
Ultiima 32B128K / 65.8 GB187
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Virtuoso-Medium-v2.

Rank the Virtuoso Medium V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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