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picoGPT

jaymody/picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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3.5k stars456 forksLast push Apr 24, 2023 Python MIT

Decision brief

`picoGPT` is a minimal and extremely compact GPT-2 model, written in NumPy for the sake of readability despite significant inefficiencies.

Good fit when

- Use `picoGPT` when you need an example to understand GPT-2's functioning at its most pared-down level.
- Opt for this tool if your goal is educational or as a base to elaborate on for academic demonstration without focusing on performance.

Avoid when

- Avoid `picoGPT` in scenarios requiring efficient batch processing or advanced generation techniques like top-p sampling, as it lacks these features.
- Do not use `picoGPT` if speed and scalability are critical for your project, given its megaSlow execution.

Requirements:: Min 2 GB RAM; PicoGPT may struggle with larger datasets due to its inefficiencies, despite being minimal.

Observed Jul 12, 2026 · Source: enrich:decision_facts

picoGPT alternatives Trust report

picoGPT vs LLMs-from-scratch

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Maintenance and security

Full trust report

Maintenance: Dormant (1211d since push); As of Aug 18, 2026
Provenance: Not a fork · Personal account; As of Aug 18, 2026
Security (OSV): 32 low (32 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install picoGPT

PyPI

How it fits your stack(2)

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Alternative

LLMs-from-scratch

picoGPT has an "alternative" relationship to LLMs-from-scratch as both projects offer simplified implementations of GPT-like models for educational purposes. However, picoGPT is significantly smaller, using NumPy and focusing on simplicity and understanding over performance, whereas LLMs-from-scratch uses PyTorch and provides a more comprehensive guide to building a full-scale LLM, including pre-

alternative

transformers

🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models

Relationship graph

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Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

PicoGPT is a minimal and readable GPT-2 model implementation using NumPy. The forward pass code is extremely concise (40 lines), but lacks efficiency features like batch processing or advanced sampling techniques.

Capability facts

Languages: python
Source: github.language · Aug 18, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 18, 2026)

pt2.py` contains the actual GPT model and generation code which we can run as a python script.

Source link

README

PicoGPT Accompanying blog post: GPT in 60 Lines of Numpy You've seen openai/gpt 2. You've seen karpathy/minGPT. You've even seen karpathy/nanoGPT! But have you seen picoGPT??!? is an unnecessarily tiny and minimal implementation of GPT 2 in plain NumPy. The entire forward pass co...

For agents

This page has a .md twin and JSON over the API.

/tools/jaymody-picogpt.md GET /api/graphcanon/tools/jaymody-picogpt GET /api/graphcanon/graph?tool=jaymody-picogpt