What are the hardware requirements for Virtuoso Lite PreDistill?

Virtuoso Lite PreDistill requires approximately 41.5 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 PreDistill and how large is it?

Virtuoso Lite PreDistill is developed by arcee-ai, a model with 10b 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 PreDistill?

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

Virtuoso Lite PreDistill by arcee-ai — VRAM 41.5GB, 32K context

Name: Virtuoso Lite PreDistill
Author: arcee-ai

Virtuoso Lite PreDistill is an open-source language model by arcee-ai. Features: 10b LLM, VRAM: 41.5GB, Context: 32K, License: other, Instruction-Based.

Base model:finetune:tiiuae/fal... Base model:tiiuae/falcon3-10b-... Conversational Endpoints compatible Instruct Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

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

Virtuoso Lite PreDistill Parameters and Internals

LLM Name	Virtuoso Lite PreDistill
Repository 🤗	https://huggingface.co/arcee-ai/Virtuoso-Lite-PreDistill
Base Model(s)	Falcon3 10B Base tiiuae/Falcon3-10B-Base
Model Size	10b
Required VRAM	41.5 GB
Updated	2026-08-09
Maintainer	arcee-ai
Model Type	llama
Instruction-Based	Yes
Model Files	4.7 GB: 1-of-9 4.8 GB: 2-of-9 4.8 GB: 3-of-9 4.8 GB: 4-of-9 4.8 GB: 5-of-9 4.8 GB: 6-of-9 4.8 GB: 7-of-9 4.8 GB: 8-of-9 3.2 GB: 9-of-9
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Virtuoso Lite PreDistill 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 PreDistill

Best Alternatives	Context / RAM	Downloads	Likes
Falcon3 10B Instruct	32K / 20.5 GB	7371	117
Falcon3 10B Tensopolis V2	32K / 20.5 GB	8	0
Falcon3 10B Tensopolis V1	32K / 20.5 GB	5	0
...essi V0.2 Falcon3 10B Instruct	32K / 20.5 GB	8	0
FalconThink3 10B IT	32K / 20.5 GB	6	3
BuddyGlassUncensored2025.2	32K / 20.5 GB	11	4
...essi V0.1 Falcon3 10B Instruct	32K / 20.5 GB	12	0
Eyas 17B Instruct	32K / 34.8 GB	63	0
Barcenas 10B	32K / 20.5 GB	8	1
Falcon3Slerp2 10B	32K / 20.5 GB	5	0

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