What are the hardware requirements for Ypru 100M?

Ypru 100M requires approximately 0.3 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 Ypru 100M and how large is it?

Ypru 100M is developed by yaqgu, a model with 100m 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 Ypru 100M?

Ypru 100M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ypru 100M by yaqgu — VRAM 0.3GB, 32K context

Name: Ypru 100M
Author: yaqgu

Ypru 100M is an open-source language model by yaqgu. Features: 100m LLM, VRAM: 0.3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.28.

Arxiv:2610.20637 En Foundation-model Infinite-context Linear-attention Permissive-commercial Region:us Safetensors Sovereign-ai Ypru

Model Card on HF 🤗: https://huggingface.co/yaqgu/ypru-100m

Ypru 100M Parameters and Internals

LLM Name	Ypru 100M
Repository 🤗	https://huggingface.co/yaqgu/ypru-100m
Model Size	100m
Required VRAM	0.3 GB
Updated	2026-10-25
Maintainer	yaqgu
Model Type	ypru
Model Files	0.3 GB
Supported Languages	en
Model Architecture	YpruForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.0
Vocabulary Size	50000
Torch Data Type	float32

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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