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stanford_alpaca

tatsu-lab/stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data

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

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30k stars4.0k forksLast push Jul 17, 2024 Python Apache-2.0

Decision brief

Stanford Alpaca is a repository for training and sharing an instruction-following LLaMA model, including data for fine-tuning, data generation code, and fine-tuning code.

Good fit when

  • When you need to train an instruction-following model using the LLaMA architecture and have access to non-commercial use cases.
  • If you are conducting research in the field of deep learning and instruction-following models and require reproducible results.

Avoid when

  • If your project requires commercial use, as the dataset and model weights are licensed under CC BY NC 4.0, allowing only non-commercial use.
  • When you need a fully safety-tested model, as Alpaca has not been fine-tuned to be safe and harmless.
Requirements:
Min 8 GB RAM; The model training process may require significant computational resources, including GPUs.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (792d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
52 low (52 low)
As of Sep 18, 2026

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

Install

pip install stanford_alpaca
PyPI

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Overview

Repository for the Stanford Alpaca project, which focuses on building and sharing an instruction-following LLaMA model. Includes data for fine-tuning, data generation code, and fine-tuning code.

Capability facts

Languages
python

Source: github.language · Sep 18, 2026

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README

<p align="center" width="100%" <img src="assets/logo.png" alt="Stanford Alpaca" style="width: 50%; min width: 300px; display: block; margin: auto;" </p Stanford Alpaca: An Instruction following LLaMA Model This is the repo for the Stanford Alpaca project, which aims to build and...

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