litgpt logo

litgpt

Lightning-AI/litgpt

High-performance LLMs with recipes for pretraining, finetuning and deployment

GraphCanon updated 1w · GitHub synced 1w

14k stars1.5k forksLast push 1mo Python Apache-2.0

Decision brief

LitGPT offers extensive support for high-performance LLMs with comprehensive workflows for pretraining, fine-tuning, and deployment.

Good fit when

  • If you are focusing on a project that requires rapid prototyping or experimentation with over 20 different LLMs to find the best fit for your application.
  • When scalable deployment is essential. LitGPT’s workflows ensure smooth operationalization of models across various environments.

Avoid when

  • If you need a tool specifically optimized for resource-constrained devices, as LitGPT focuses on high-performance LLMs and may require more resources.
  • When your project is strictly limited to only one or two types of specific LLMs; in this case, another specialized framework that caters narrowly might be preferable.
Pricing:
freemium - The core LitGPT framework is free to use under an open source license, but users might encounter costs when deploying at scale or using high-performance models.
Requirements:
Min 16 GB RAM

Observed Jul 11, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Active (17d since push)
As of 1w
Provenance
Not a fork · Organization account
As of 1w
Security (OSV)
No lockfile
As of 1mo

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

Install

pip install litgpt
PyPI

How it fits your stack(18)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

Related

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

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

Overview

LitGPT provides over 20 high-performance large language models and workflows for their pretraining, fine-tuning, and scalable deployment.

Capability facts

Languages
python

Source: github.language+pyproject.toml · Aug 7, 2026

Categories

Graph entities

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Aug 7, 2026)

```python from litgpt import LLM
Source link

Tags

README

Quick start

Install LitGPT

pip install 'litgpt[extra]'

Load and use any of the 20+ LLMs:

from litgpt import LLM

llm = LLM.load("microsoft/phi-2")
text = llm.generate("Fix the spelling: Every fall, the family goes to the mountains.")
print(text)

---

### License

LitGPT is released under the [Apache 2.0](https://github.com/Lightning-AI/litgpt/blob/main/LICENSE.md) license.

For agents

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

Was this helpful?

Anonymous feedback helps us improve pages and translations.