What are the hardware requirements for NightWing3 Virtuoso 10B V0.2?

NightWing3 Virtuoso 10B V0.2 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 NightWing3 Virtuoso 10B V0.2 and how large is it?

NightWing3 Virtuoso 10B V0.2 is developed by Nitral-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 NightWing3 Virtuoso 10B V0.2?

NightWing3 Virtuoso 10B V0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NightWing3 Virtuoso 10B V0.2 by Nitral-AI — VRAM 20.5GB, 32K context

Name: NightWing3 Virtuoso 10B V0.2
Author: Nitral-AI

NightWing3 Virtuoso 10B V0.2 is an open-source language model by Nitral-AI. Features: 10b LLM, VRAM: 20.5GB, Context: 32K, License: other, Merged, LLM Explorer Score: 0.16.

Merged Model Autotrain compatible Base model:nitral-archive/nigh... Base model:nitral-archive/virt... Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Nitral-AI/NightWing3_Virtuoso-10B-v0.2

NightWing3 Virtuoso 10B V0.2 Parameters and Internals

LLM Name	NightWing3 Virtuoso 10B V0.2
Repository 🤗	https://huggingface.co/Nitral-AI/NightWing3_Virtuoso-10B-v0.2
Base Model(s)	...o Lite Chatmlified 10B R16 Ep1 Nitral-Archive/NightWing3-10B-v0.1 Nitral-Archive/Virtuoso-Lite-chatmlified-10B_r16-ep1 Nitral-Archive/NightWing3-10B-v0.1
Merged Model	Yes
Model Size	10b
Required VRAM	20.5 GB
Updated	2025-02-05
Maintainer	Nitral-AI
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	4.48.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the NightWing3 Virtuoso 10B V0.2 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 NightWing3 Virtuoso 10B V0.2

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-AI/NightWing3_Virtuoso-10B-v0.2.