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Training & fine-tuning

torchtune

Emphasizes editable PyTorch training recipes, with an explicit upstream maintenance warning.

5,810 stars

Overview

Research summary

torchtune provides readable PyTorch implementations and configurable recipes for adapting language and multimodal models. Its documented workflows include supervised fine-tuning, adapter training, preference optimization, reinforcement learning, distillation and quantization-aware training. Developers can modify the recipes directly instead of depending on a deeply abstracted training engine. The repository remains useful as implementation material, but its current README explicitly states that development wound down in 2025 and the project is no longer actively maintained.

Repository summary

Stars
5,810
Open issues
Unavailable
Last push
2026-09-09
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for torchtune.

Implementation details

Python library and supporting tools

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

meta-pytorch/torchtune ↗

Stars
5,810
Open issues
Unavailable
Last push
2026-09-09
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Unmaintained: The README states development wound down in 2025 and torchtune is no longer actively maintained. Source ↗

Documentation

Recorded references and research provenance for this entry.

Recorded sources 5

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

Community & social 1 channels

Communities