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Open-weight model

tiny-gpt-chat

by Alex Lin al20312/tiny-gpt-chat

tiny-gpt-chat is an open-weight model from Alex Lin. Its published files total 28.1 MB.

A tiny (~6.9M parameter) GPT trained from scratch: pretrained on TinyStories, then fine-tuned on a few thousand everyday conversations. It can do basic small talk, but it is very small, so expect nonsense and made-up facts.

Parameters—
Context—
Weights27.6 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

A tiny (~6.9M parameter) GPT trained from scratch: pretrained on TinyStories, then fine-tuned on a few thousand everyday conversations. It can do basic small talk, but it is very small, so expect nonsense and made-up facts. Requires torch, tokenizers and huggingfacehub. message reply. Context length is 256 tokens.

Excerpt from the card by Alex Lin.

Identity and Version

Repository
al20312/tiny-gpt-chat
Publisher
Alex Lin
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
en
Revision
575bf55c94cde7b840879cc42dd38c9b6b826a46
First published
2026-10-11
Last updated
2026-10-11

Files and Weights

6 files, 28.1 MB in total. The weights are 1 file totalling 27.6 MB in pt.

Weights1 file · 27.6 MB
Configuration2 files · 3.4 KB
Tokenizer1 file · 554.2 KB
Documentation1 file · 810 B
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
model.ptWeights27.6 MB 9dbc58c9f840
config.jsonConfiguration81 B —
model.pyConfiguration3.3 KB —
README.mdDocumentation810 B —
.gitattributesRepository1.5 KB —
tokenizer.jsonTokenizer554.2 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
27.6 MB
Download from Alex Lin

Released by Alex Lin through its official repository on Hugging Face.

Built From

  • Trained on (disclosed) HuggingFaceTB/everyday-conversations-llama3.1-2k
  • Trained on (disclosed) roneneldan/TinyStories

Memory Requirements

PrecisionWeights in memory
As published27.6 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.