roneneldan / text-generation updated 9 months ago

TinyStories-1M

Name: TinyStories-1M
Author: roneneldan

python from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig model = AutoModelForCausalLM.frompretrained('roneneldan/TinyStories-1M') tokenizer = AutoTokenizer.frompretrained("EleutherAI/gpt-neo-125M")

Params

1.0 M

Context

2,048

Downloads 30d

232 K

Likes

Licence: unknown Not gated View on Hugging Face ↗

Download history

daily snapshots · 30 days

239 K183 K

Aug 23Sep 2Sep 12Sep 21

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/tinystories-1m
{
  "hf_id": "roneneldan/TinyStories-1M",
  "params_b": 0.00,
  "context_length": 2048,
  "license": { "id": "", "commercial": "unknown" },
  "downloads_30d": 232159,
  "vram_estimates": [

  ],
  "updated_at": "2026-09-18T01:00:28Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: GPTNeoForCausalLM
Parameters: 1.0 M
Context length: 2,048
Vocabulary: 50,257
First seen on the Hub: 2023-05-12
Training datasets: roneneldan/TinyStories
Added to our catalog: 2026-08-23

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