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LLM-FineTuning-Large-Language-Models

rohan-paul/LLM-FineTuning-Large-Language-Models

LLM FineTuning

GraphCanon updated today · GitHub synced today

577 stars136 forksLast push 1y Jupyter Notebook

Decision brief

LLM-FineTuning-Large-Language-Models is a Jupyter Notebook repository focused on fine-tuning large language models including GPT-3, GPT3-Turbo, LLaMA2, and Mistral-7B using Pytorch.

Good fit when

  • When you specifically need to work with GPT-3, GPT3-Turbo, LLaMA2, or Mistral-7B models within a Jupyter Notebook environment for fine-tuning tasks.
  • If your project requires the flexibility and precision of Pytorch for adjusting pre-trained language models.

Avoid when

  • Do not use this repository if you are looking to work with frameworks other than Pytorch, as it is specifically tied to Pytorch implementations.
  • Avoid choosing this tool if you do not need model finetuning capabilities and instead require only inference or serving services from your language models.

Observed Jul 16, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Dormant (510d since push)
As of today
Provenance
Not a fork · Personal account
As of today
Security (OSV)
No lockfile
As of 1mo

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

Install

git clone https://github.com/rohan-paul/LLM-FineTuning-Large-Language-Models

Similar tools

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Evidence and technical details

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

Overview

A Jupyter Notebook repository focused on fine-tuning large language models including GPT-3, GPT3-Turbo, LLaMA2, and Mistral-7B using Pytorch.

Capability facts

Languages
jupyter notebook

Source: github.language · Aug 25, 2026

Categories

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Aug 25, 2026)

rite daily for my 112K+ readers on actionable AI developments. Get a 1300+ page Python book as soon as you subscribing (its FREE) ↓↓)](https://www.rohan-paul.com/s/dai
Source link

Tags

README

For agents

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

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