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nanotron

huggingface/nanotron

Minimalistic large language model 3D-parallelism training

GitHub

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

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2.8k stars328 forksLast push May 26, 2026 Python Apache-2.0

Decision brief

Nanotron specializes in minimalistic large language model 3D-parallelism training via efficient distributed computing techniques.

Good fit when

You aim to implement 3D-parallelism for large language models with minimal code complexity and high efficiency.
Your project is centered around Python and you are looking to optimize distributed training processes without the extra bloat.

Avoid when

You require robust integration capabilities that come with larger, more feature-rich training frameworks.
Need extensive out-of-the-box solutions for common data processing tasks as Nanotron focuses narrowly on parallelism and efficient computing, potentially missing broader functionalities.

Observed Jul 14, 2026 · Source: enrich:decision_facts

nanotron alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Slowing (103d since push); As of Sep 6, 2026
Provenance: Not a fork · Organization account; As of Sep 6, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Backing

Company context for Hugging Face. Display-only - separate from trust and ranking.

Company: Hugging Face·GitHub org profile·Jul 11, 2026
Employees: 160·Wikidata (P1128 employees)·Jul 11, 2026
Funding: $235,000,000 (2023-08)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: OSS + managed cloud·GraphCanon curated seed·Jul 11, 2026

Install

pip install nanotron

PyPI

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Evidence and technical details

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

Overview

A minimalistic repository for 3D-parallelism in large language model training, focused on efficient distributed computing.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 6, 2026

Graph entities

Hugging Facecompany

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 6, 2026)

To run the code in this project, first create a Python virtual environment using e.g. `uv`:

Source link

README

Installation To run the code in this project, first create a Python virtual environment using e.g. : [!TIP] For Hugging Face cluster users, add to your to suppress cache warnings from Next, install Pytorch: Then install the core dependencies with: To run the example scripts, inst...

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