What are the hardware requirements for Virtuoso Lite Tensopolis V2?

Virtuoso Lite Tensopolis V2 requires approximately 20.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Virtuoso Lite Tensopolis V2 and how large is it?

Virtuoso Lite Tensopolis V2 is developed by tensopolis, a model with 10.3b 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 Lite Tensopolis V2?

Virtuoso Lite Tensopolis V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Virtuoso Lite Tensopolis V2 by tensopolis — VRAM 20.5GB, 32K context

Name: Virtuoso Lite Tensopolis V2
Author: tensopolis

Virtuoso Lite Tensopolis V2 is an open-source language model by tensopolis. Features: 10.3b LLM, VRAM: 20.5GB, Context: 32K, License: other, LLM Explorer Score: 0.27.

Base model:arcee-ai/virtuoso-l... Base model:finetune:arcee-ai/v... Falcon3 Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tensopolis/virtuoso-lite-tensopolis-v2

Virtuoso Lite Tensopolis V2 Parameters and Internals

LLM Name	Virtuoso Lite Tensopolis V2
Repository 🤗	https://huggingface.co/tensopolis/virtuoso-lite-tensopolis-v2
Base Model(s)	Virtuoso Lite arcee-ai/Virtuoso-Lite
Model Size	10.3b
Required VRAM	20.5 GB
Updated	2025-12-19
Maintainer	tensopolis
Model Type	llama
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 0.9 GB: 5-of-5
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Virtuoso Lite Tensopolis V2 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 Lite Tensopolis V2

Best Alternatives	Context / RAM	Downloads	Likes
Virtuoso Lite Tensopolis V1	32K / 20.5 GB	17	0
RA Reasoner2.0	32K / 20.5 GB	5	0
Helpingai3 Raw	32K / 20.5 GB	6	8
HelpingAI 3	32K / 20.5 GB	9	8

Note: green Score (e.g. "73.2") means that the model is better than tensopolis/virtuoso-lite-tensopolis-v2.