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FineTuningLLMs

dvgodoy/FineTuningLLMs

Official repository for 'A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face'

GitHub

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

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865 stars119 forksLast push Feb 28, 2026 Jupyter Notebook MIT

Decision brief

FineTuningLLMs is designed for users familiar with PyTorch and Hugging Face who seek practical guidance via Jupyter Notebooks.

Good fit when

You need hands-on, step-by-step instructions using PyTorch and the Hugging Face ecosystem
Prefer learning through executable code examples in Jupyter Notebook format

Avoid when

Not interested in PyTorch; prefer TensorFlow or another framework
Seek theoretical background over practical applications

Observed Jul 12, 2026 · Source: enrich:decision_facts

FineTuningLLMs alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Slowing (203d since push); As of Sep 19, 2026
Provenance: Not a fork · Personal account; As of Sep 19, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Install

git clone https://github.com/dvgodoy/FineTuningLLMs

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Evidence and technical details

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

Overview

Provides materials including Jupyter Notebooks for guiding users through the process of fine-tuning Large Language Models using PyTorch and the Hugging Face library.

Capability facts

Languages: jupyter notebook
Source: github.language · Sep 19, 2026

Compatibility

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

Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Sep 19, 2026)

Since the release of ChatGPT in November 2022, it feels almost impossible to keep up with the rapid pace of

Source link

README

A Hands On Guide to Fine Tuning LLMs with PyTorch and Hugging Face <p align="center" <img src="https://github.com/dvgodoy/FineTuningLLMs/blob/main/images/cover.png?raw=True" width="400"/ <br <strong <a href="https://www.amazon.com/dp/B0DV3Y1GMP" Kindle</a <a href="https://www.ama...

For agents

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

/tools/dvgodoy-finetuningllms.md GET /api/graphcanon/tools/dvgodoy-finetuningllms GET /api/graphcanon/graph?tool=dvgodoy-finetuningllms