What are the hardware requirements for IllaryiaStories 1M?

IllaryiaStories 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 IllaryiaStories 1M and how large is it?

IllaryiaStories 1M is developed by EphAsad, 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 IllaryiaStories 1M?

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

IllaryiaStories 1M by EphAsad — 2K context

Name: IllaryiaStories 1M
Author: EphAsad

IllaryiaStories 1M is an open-source language model by EphAsad. Features: 1m LLM, Context: 2K, License: mit, LLM Explorer Score: 0.25.

Arxiv:2305.07759 Base model:finetune:roneneldan... Base model:roneneldan/tinystor... Dataset:karpathy/tinystories-g... En Finetuned Gpt-neo Gpt neo Region:us Safetensors Story-generation Tinystories

Model Card on HF 🤗: https://huggingface.co/EphAsad/IllaryiaStories-1M

IllaryiaStories 1M Parameters and Internals

LLM Name	IllaryiaStories 1M
Repository 🤗	https://huggingface.co/EphAsad/IllaryiaStories-1M
Base Model(s)	TinyStories 1M roneneldan/TinyStories-1M
Model Size	1m
Required VRAM	0 GB
Updated	2026-07-31
Maintainer	EphAsad
Model Type	gpt_neo
Model Files	0.0 GB
Supported Languages	en
Model Architecture	GPTNeoForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	5.12.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	50257
Activation Function	gelu_new
Errors	replace

Rank the IllaryiaStories 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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