What are the hardware requirements for Virtuoso Lite Chatmlified 10B R16 Ep1?

Virtuoso Lite Chatmlified 10B R16 Ep1 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 Chatmlified 10B R16 Ep1 and how large is it?

Virtuoso Lite Chatmlified 10B R16 Ep1 is developed by Nitral-Archive, 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 Chatmlified 10B R16 Ep1?

Virtuoso Lite Chatmlified 10B R16 Ep1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Virtuoso Lite Chatmlified 10B R16 Ep1 by Nitral-Archive — VRAM 20.5GB, 32K context

Name: Virtuoso Lite Chatmlified 10B R16 Ep1
Author: Nitral-Archive

Virtuoso Lite Chatmlified 10B R16 Ep1 is an open-source language model by Nitral-Archive. Features: 10b LLM, VRAM: 20.5GB, Context: 32K, License: other, LLM Explorer Score: 0.16.

En Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nitral-Archive/Virtuoso-Lite-chatmlified-10B_r16-ep1

Virtuoso Lite Chatmlified 10B R16 Ep1 Parameters and Internals

LLM Name	Virtuoso Lite Chatmlified 10B R16 Ep1
Repository 🤗	https://huggingface.co/Nitral-Archive/Virtuoso-Lite-chatmlified-10B_r16-ep1
Model Size	10b
Required VRAM	20.5 GB
Updated	2026-07-23
Maintainer	Nitral-Archive
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
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Virtuoso Lite Chatmlified 10B R16 Ep1 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 Chatmlified 10B R16 Ep1

Best Alternatives	Context / RAM	Downloads	Likes
...enbuddy Falcon3 10B V24.2 131K	128K / 20.7 GB	6	0
Priya 10B	128K / 20.5 GB	11	2
HelpingAI2.5 10B	128K / 20.5 GB	66	2
L3.1 Mochav2 10B	128K / 42.8 GB	21	0
HELVETE X	128K / 20.5 GB	104	11
HelpingAI2.5 10B	128K / 20.5 GB	9	8
Yarn Solar 10B 64K	64K / 21.4 GB	150	16
StoryTeller 10B 2e V2	58K / 21.4 GB	5	1
Falcon3 10B Instruct	32K / 20.5 GB	7371	117
Virtuoso Lite	32K / 20.5 GB	23	38

Note: green Score (e.g. "73.2") means that the model is better than Nitral-Archive/Virtuoso-Lite-chatmlified-10B_r16-ep1.