What are the hardware requirements for Atomight V2.2 UltraThink 0.5B?

Atomight V2.2 UltraThink 0.5B requires approximately 1 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 Atomight V2.2 UltraThink 0.5B and how large is it?

Atomight V2.2 UltraThink 0.5B is developed by NovatasticRoScript, a model with 0.5b 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 Atomight V2.2 UltraThink 0.5B?

Atomight V2.2 UltraThink 0.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Atomight V2.2 UltraThink 0.5B by NovatasticRoScript — VRAM 1GB, 32K context

Name: Atomight V2.2 UltraThink 0.5B
Author: NovatasticRoScript

Atomight V2.2 UltraThink 0.5B is an open-source language model by NovatasticRoScript. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.25.

4bit Conversational Dataset:allenai/ai2 arc Dataset:allenai/hellaswag Dataset:angrygiraffe/claude-op... Dataset:bespokelabs/bespoke-st... Dataset:coherelabs/global-mmlu Dataset:open-thoughts/openthou... Dataset:rowan/hellaswag Dataset:tiger-lab/mmlu-pro En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/NovatasticRoScript/Atomight-V2.2-UltraThink-0.5B

Atomight V2.2 UltraThink 0.5B Parameters and Internals

LLM Name	Atomight V2.2 UltraThink 0.5B
Repository 🤗	https://huggingface.co/NovatasticRoScript/Atomight-V2.2-UltraThink-0.5B
Base Model(s)	unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit unsloth/qwen2.5-0.5b-instruct-unsloth-bnb-4bit
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-07-12
Maintainer	NovatasticRoScript
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Atomight V2.2 UltraThink 0.5B 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 Atomight V2.2 UltraThink 0.5B

Best Alternatives	Context / RAM	Downloads	Likes
Pgabl Ft Nama Siswa	32K / 1 GB	253	0
Legal Rag Qwen Sft	32K / 1 GB	204	0
...mmanuel Siagian Exp1 Lr2e5 R16	32K / 1 GB	11	0
BoyBarley Sparky	32K / 1 GB	19	0
...0.5B Instruct Unsloth Bnb 4bit	32K / 0.5 GB	27509	4
Qwen2.5 0.5B Instruct 4bit	32K / 0.3 GB	15769	7
Qwen2.5 0.5B Instruct Bnb 4bit	32K / 0.5 GB	14598	4
...5 Coder 0.5B Instruct Bnb 4bit	32K / 0.5 GB	6612	4
TinySphinx	32K / 1 GB	34	0
... Instruct Unsloth Merged 16bit	32K / 1.3 GB	25	2

Note: green Score (e.g. "73.2") means that the model is better than NovatasticRoScript/Atomight-V2.2-UltraThink-0.5B.