What are the hardware requirements for TeenyTinyStories 1M?

TeenyTinyStories 1M requires a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TeenyTinyStories 1M and how large is it?

TeenyTinyStories 1M is developed by ableian, a model with 1m 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 TeenyTinyStories 1M?

TeenyTinyStories 1M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TeenyTinyStories 1M by ableian — 2K context

Name: TeenyTinyStories 1M
Author: ableian

TeenyTinyStories 1M is an open-source language model by ableian. Features: 1m LLM, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.29.

Endpoints compatible Gpt-neo Gpt neo Region:us Safetensors Synthetic-data Tiny-stories

Model Card on HF 🤗: https://huggingface.co/ableian/TeenyTinyStories-1M

TeenyTinyStories 1M Parameters and Internals

LLM Name	TeenyTinyStories 1M
Repository 🤗	https://huggingface.co/ableian/TeenyTinyStories-1M
Model Size	1m
Required VRAM	0 GB
Updated	2026-10-14
Maintainer	ableian
Model Type	gpt_neo
Model Files	0.0 GB
Model Architecture	GPTNeoForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.18.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the TeenyTinyStories 1M 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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