What are the hardware requirements for Pretype One?

Pretype One requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Pretype One and how large is it?

Pretype One is developed by nikimoriOne, a model with 2.8b 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 Pretype One?

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

Pretype One by nikimoriOne — VRAM 1.6GB

Name: Pretype One
Author: nikimoriOne

Pretype One is an open-source language model by nikimoriOne. Features: 2.8b LLM, VRAM: 1.6GB, License: apache-2.0, LLM Explorer Score: 0.32.

4-bit Adapter Autocomplete Base model:finetune:google/gem... Base model:google/gemma-4-e2b Conversational Finetuned Gemma4 Grammar-correction Lora Mlx Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nikimoriOne/Pretype-One

Pretype One Parameters and Internals

LLM Name	Pretype One
Repository 🤗	https://huggingface.co/nikimoriOne/Pretype-One
Base Model(s)	Gemma 4 E2B google/gemma-4-E2B
Model Size	2.8b
Required VRAM	1.6 GB
Updated	2026-11-13
Maintainer	nikimoriOne
Model Files	0.0 GB 1.6 GB
Model Architecture	Adapter
License	apache-2.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
LoRA Model	Yes
LoRA Alpha	0
LoRA Dropout	0
R Param	0

Rank the Pretype One capabilities

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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

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