What are the hardware requirements for Regulus Tiny 0.5B V2?

Regulus Tiny 0.5B V2 requires approximately 2 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 Regulus Tiny 0.5B V2 and how large is it?

Regulus Tiny 0.5B V2 is developed by prithivMLmods, 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 Regulus Tiny 0.5B V2?

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

Regulus Tiny 0.5B V2 by prithivMLmods — VRAM 2GB, 32K context

Name: Regulus Tiny 0.5B V2
Author: prithivMLmods

Regulus Tiny 0.5B V2 is an open-source language model by prithivMLmods. Features: 0.5b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.17.

0.5b Base model:prithivmlmods/bella... Base model:quantized:prithivml... Conversational En Endpoints compatible Onnx Qwen Qwen2 Region:us Safetensors V2

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Regulus-Tiny-0.5B-v2

Regulus Tiny 0.5B V2 Parameters and Internals

LLM Name	Regulus Tiny 0.5B V2
Repository 🤗	https://huggingface.co/prithivMLmods/Regulus-Tiny-0.5B-v2
Base Model(s)	prithivMLmods/Bellatrix-Tiny-0.5B prithivMLmods/Bellatrix-Tiny-0.5B
Model Size	0.5b
Required VRAM	2 GB
Updated	2026-07-20
Maintainer	prithivMLmods
Model Type	qwen2
Model Files	2.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.50.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Regulus Tiny 0.5B V2 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Regulus Tiny 0.5B V2

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Reader Lm 0.5B	250K / 1 GB	188	150
Qwen2 0.5B	128K / 1 GB	1216780	169
Qwen2 0.5B Finetune Exp 1	128K / 1 GB	15	0
...0.5B FT EnhancedMUSREnsembleV3	128K / 1 GB	32	1
....5B FT V4 MUSR ENSEMBLE Mathis	128K / 2 GB	30	1
...0.5B FT MUSR ENSEMBLE V2Mathis	128K / 1 GB	25	0
...PRYMMAL 0.5B FT V4 MUSR Mathis	128K / 1 GB	62	1
Qwen2 0.5B Stf Imdb	128K / 1 GB	7	0
ECE PRYMMAL 0.5B FT V3 MUSR	128K / 2 GB	17	0
ECE PRYMMAL 0.5B FT V4 MUSR	128K / 2 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Regulus-Tiny-0.5B-v2.