What are the hardware requirements for Ml Intern V4 100M Tinystories 20260512 1721?

Ml Intern V4 100M Tinystories 20260512 1721 requires approximately 0.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ml Intern V4 100M Tinystories 20260512 1721 and how large is it?

Ml Intern V4 100M Tinystories 20260512 1721 is developed by AlexWortega, 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 Ml Intern V4 100M Tinystories 20260512 1721?

Ml Intern V4 100M Tinystories 20260512 1721 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ml Intern V4 100M Tinystories 20260512 1721 by AlexWortega — VRAM 0.3GB

Name: Ml Intern V4 100M Tinystories 20260512 1721
Author: AlexWortega

Ml Intern V4 100M Tinystories 20260512 1721 is an open-source language model by AlexWortega. Features: 100m LLM, VRAM: 0.3GB, License: apache-2.0, LLM Explorer Score: 0.23.

Dataset:roneneldan/tinystories Deepseek Deepseek-v4 En Ml-intern Pytorch Region:us Safetensors Tinystories

Model Card on HF 🤗: https://huggingface.co/AlexWortega/ml-intern-v4-100m-tinystories-20260512-1721

Ml Intern V4 100M Tinystories 20260512 1721 Parameters and Internals

LLM Name	Ml Intern V4 100M Tinystories 20260512 1721
Repository 🤗	https://huggingface.co/AlexWortega/ml-intern-v4-100m-tinystories-20260512-1721
Model Size	100m
Required VRAM	0.3 GB
Updated	2026-09-09
Maintainer	AlexWortega
Model Files	0.3 GB
Supported Languages	en
License	apache-2.0
Vocabulary Size	50257

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Instruction Following and Task Automation
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Text Generation
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