LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Virtuoso Small V2 by arcee-ai

 »  All LLMs  »  arcee-ai  »  Virtuoso Small V2   URL Share it on

  1263   
  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Virtuoso-Small-v2 

Virtuoso Small V2 Benchmarks

MMLU Pro: 46.53
GPQA: 13.76
MUSR: 14.28
BBH: 50.95
IFEval: 82.73 vs 88 (so35)-6%
MATH Lvl 5: 38.22
LLME Score: 0.4663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Virtuoso Small V2 (arcee-ai/Virtuoso-Small-v2)

Virtuoso Small V2 Parameters and Internals

LLM NameVirtuoso Small V2
Repository 🤗https://huggingface.co/arcee-ai/Virtuoso-Small-v2 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Model Size14b
Required VRAM29.7 GB
Updated2025-02-13
Maintainerarcee-ai
Model Typeqwen2
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Virtuoso Small V2

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB20121239
Qwen2.5 14B DeepSeek R1 1M986K / 29.7 GB117810
Impish QWEN 14B 1M986K / 29.7 GB12111
Calcium Opus 14B Elite 1M986K / 29.7 GB6010
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB1402
Q2.5 14B Instruct 1M Harmony986K / 29.7 GB311
...wen2.5 14B Instruct 1M Unalign986K / 29.7 GB2980
Qwen2.5 14B Instruct 1M986K / 29.7 GB1043
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB251
Mergekit Model Stock Injkqri986K / 29.7 GB261
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Virtuoso-Small-v2.

Rank the Virtuoso Small 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  

What open-source LLMs or SLMs are you in search of? 43048 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer