What are the hardware requirements for Tinystories 24M?

Tinystories 24M requires approximately 0.1 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tinystories 24M and how large is it?

Tinystories 24M is developed by Compactbot, a model with 24m 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 Tinystories 24M?

Tinystories 24M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinystories 24M by Compactbot — VRAM 0.1GB, 0.5K context

Name: Tinystories 24M
Author: Compactbot

Tinystories 24M is an open-source language model by Compactbot. Features: 24m LLM, VRAM: 0.1GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.32.

Bpe Dataset:roneneldan/tinystories En From-scratch Gpt Region:us Safetensors Slm Small-language-model Tiny Tiny-lm Tiny-model Tinystories Tinystories-gpt

Model Card on HF 🤗: https://huggingface.co/Compactbot/tinystories-24m

Tinystories 24M Parameters and Internals

LLM Name	Tinystories 24M
Repository 🤗	https://huggingface.co/Compactbot/tinystories-24m
Model Size	24m
Required VRAM	0.1 GB
Updated	2026-09-28
Maintainer	Compactbot
Model Type	tinystories-gpt
Model Files	0.1 GB
Supported Languages	en
Model Architecture	TinyStoriesGPT
License	apache-2.0
Context Length	512
Model Max Length	512
Vocabulary Size	8192

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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