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FastEdit

hiyouga/FastEdit

Editing large language models within 10 seconds

GitHub

GraphCanon updated Sep 28, 2026 · GitHub synced Sep 28, 2026

42views this month

1.4k stars103 forksLast push Aug 13, 2023 Python Apache-2.0

Decision brief

FastEdit is a Python library for quick edits to large language models using PyTorch.

Good fit when

When rapid iterations on language model edits are necessary, such as testing and tuning with tight feedback loops.
If you aim to work specifically within the FP16 precision mode requiring 24GB RAM for a 7B LLaMA model or 32GB RAM for a 13B version.

Avoid when

If your workflow requires integration with TensorFlow instead of PyTorch, since FastEdit is built on top of PyTorch.
For hardware configurations that cannot meet the fast editing mode's requirements; for instance, if you have less than 24GB RAM available.

Requirements:: Min -1 GB RAM; Requires Python 3.8+ and PyTorch 1.13.1+. Must also install 🤗Transformers, Datasets, Accelerate, sentencepiece, and fire.; Hardware requirements for a specific model can vary; refer to the provided table for minimum RAM sizes for different models.

Observed Jul 16, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report

Maintenance: Dormant (1142d since push); As of Sep 28, 2026
Provenance: Not a fork · Personal account; As of Sep 28, 2026
Security (OSV): 73 low (73 low); As of Jul 11, 2026

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

Install

pip install FastEdit

PyPI

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Evidence and technical details

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

Overview

FastEdit is a Python library designed for efficient editing of large language models, such as LLaMA and others, using PyTorch.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 28, 2026

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 28, 2026)

- Python 3.8+ and PyTorch 1.13.1+

Source link

README

Requirements Python 3.8+ and PyTorch 1.13.1+ 🤗Transformers, Datasets and Accelerate sentencepiece and fire Hardware Requirements Model Size Mode GRAM Speed LLaMA 7B FP16 24GB 7s/it LLaMA 13B FP16 32GB 9s/it Installation Alternatively, you could use to install the package. Licens...

For agents

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

/tools/hiyouga-fastedit.md GET /api/graphcanon/tools/hiyouga-fastedit GET /api/graphcanon/graph?tool=hiyouga-fastedit