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mshumer / gpt-llm-trainer

The goal of this project is to explore an experimental new pipeline to train a high-performing task-specific model. We try to abstract away all the complexity, so it's as easy as possible to go from idea -> performant fully-trained model.

Repository stars
4,176All-time #14,699
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551
Last push
updated 1 years ago
Repository created
since 2023
Frameworks & SDKsData science & machine learningJupyter NotebookMIT · Permissive
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About

Summarised by AI from the README; the original prevails

Author description: The goal of this project is to explore an experimental new pipeline to train a high-performing task-specific model. We try to abstract away all the complexity, so it's as easy as possible to go from idea -> performant fully-trained model.

Basic listing based on official public information; functionality has not been independently evaluated.

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Star trend

4,1754,1764,17611-03 · 4,17510-0710-1210-1710-2210-2711-0111-05
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 08:39 UTC4,176Source
2026-11-03 09:39 UTC4,175Source

First collected 2026-11-03Measured at 2026-11-06 08:39 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.