What are the hardware requirements for HyperNix.3 Mini?

HyperNix.3 Mini requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed HyperNix.3 Mini and how large is it?

HyperNix.3 Mini is developed by ray0rf1re, a model with 48.7m 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 HyperNix.3 Mini?

HyperNix.3 Mini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

HyperNix.3 Mini by ray0rf1re — VRAM 0.2GB

Name: HyperNix.3 Mini
Author: ray0rf1re

HyperNix.3 Mini is an open-source language model by ray0rf1re. Features: 48.7m LLM, VRAM: 0.2GB, License: apache-2.0, LLM Explorer Score: 0.26.

Consumer-hardware Dataset:huggingfacefw/fineweb-... En Gtx-1080 Hypernix Hypernix0x-v2 Pascal Pretrained-from-scratch Region:us Safetensors Small-language-model

Model Card on HF 🤗: https://huggingface.co/ray0rf1re/HyperNix.3-mini

HyperNix.3 Mini Parameters and Internals

LLM Name	HyperNix.3 Mini
Repository 🤗	https://huggingface.co/ray0rf1re/HyperNix.3-mini
Model Size	48.7m
Required VRAM	0.2 GB
Updated	2026-10-03
Maintainer	ray0rf1re
Model Files	0.2 GB 0.2 GB
Supported Languages	en
License	apache-2.0
Model Max Length	1024
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	32000

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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