---
title: "open-llms vs litgpt"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/eugeneyan-open-llms-vs-lightning-ai-litgpt"
tools: ["eugeneyan-open-llms", "lightning-ai-litgpt"]
---

# open-llms vs litgpt

Neutral, constraint-first comparison with live GitHub stats.

| | [open-llms](/tools/eugeneyan-open-llms.md) | [litgpt](/tools/lightning-ai-litgpt.md) |
| --- | --- | --- |
| Tagline | A list of open LLMs available for commercial use | 20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale. |
| Stars | 12,827 | 13,467 |
| Forks | 976 | 1,466 |
| Open issues | 13 | 266 |
| Language | - | Python |
| Adopt for | A list of open-source Large Language Models (LLMs) licensed for commercial use, detailing their release dates, parameters, licensing terms, and other key attributes. | LitGPT is a repository that provides over 20 implementations of high-performance large language models (LLMs) with detailed instructions on how to preprocess, fine-tune, and deploy them at scale. It focuses on minimal, ' |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 allows for the use of source code in virtually any software project, making it suitable for commercial use cases. | Apache-2.0 |
| Categories | LLM Frameworks | LLM Frameworks, Model Training, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [open-llms](/tools/eugeneyan-open-llms.md) | [litgpt](/tools/lightning-ai-litgpt.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 510d | 2d |
| Open issues (now) | 13 | 266 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/eugeneyan-open-llms/trust.md) | [trust report](/tools/lightning-ai-litgpt/trust.md) |

**Typed relationship:** open-llms _(alternative)_ litgpt

LitGPT and eugeneyan/open_llms both provide lists of open-source LLMs, making them alternatives in terms of offering accessible resources for developers.

## Decision facts: open-llms

- **Requirements:** This repository is a curated list and does not directly include the LLMs themselves.
- **Adopt for:** A list of open-source Large Language Models (LLMs) licensed for commercial use, detailing their release dates, parameters, licensing terms, and other key attributes.
- **License detail:** Apache-2.0 allows for the use of source code in virtually any software project, making it suitable for commercial use cases.

## Decision facts: litgpt

- **Adopt for:** LitGPT is a repository that provides over 20 implementations of high-performance large language models (LLMs) with detailed instructions on how to preprocess, fine-tune, and deploy them at scale. It focuses on minimal, '

## Choose when

### Choose open-llms if…

- Requirements: This repository is a curated list and does not directly include the LLMs themselves..
- LitGPT and eugeneyan/open_llms both provide lists of open-source LLMs, making them alternatives in terms of offering accessible resources for developers.
- Tags unique to open-llms: llm-listing, commercial-use.
- A list of open-source Large Language Models (LLMs) licensed for commercial use, detailing their release dates, parameters, licensing terms, and other key attributes.

### Choose litgpt if…

- LitGPT and eugeneyan/open_llms both provide lists of open-source LLMs, making them alternatives in terms of offering accessible resources for developers.
- Tags unique to litgpt: deep-learning, ai, llm-inference, low-level-implementation.
- Also covers Model Training, Inference & Serving.
- When needing extensive customization options for large language model training.

## When NOT to use open-llms

- Last GitHub push was 511 days ago (dormant maintenance, Feb 13, 2025). Validate activity before betting a new project on open-llms.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use litgpt

- Avoid if seeking general, one-size-fits-all abstractions that simplify usage (LitGPT prioritizes speed and minimalism).
- Not suitable if your project requires models to be distributed or supported under a different license than Apache-2.0.
- If you need rapid prototyping with pre-built components and prefer toolkits other than LitGPT's direct approach.

## Common questions

### What is the difference between open-llms and litgpt?

open-llms: A list of open LLMs available for commercial use. litgpt: 20+ high-performance LLLMs with recipes for pretraining, finetuning, and deployment at scale.. See the comparison table for live GitHub stats and shared categories.

### When should I choose open-llms over litgpt?

Choose open-llms over litgpt when Requirements: This repository is a curated list and does not directly include the LLMs themselves.; LitGPT and eugeneyan/open_llms both provide lists of open-source LLMs, making them alternatives in terms of offering accessible resources for developers; Tags unique to open-llms: llm-listing, commercial-use; A list of open-source Large Language Models (LLMs) licensed for commercial use, detailing their release dates, parameters, licensing terms, and other key attributes.

### When should I choose litgpt over open-llms?

Choose litgpt over open-llms when LitGPT and eugeneyan/open_llms both provide lists of open-source LLMs, making them alternatives in terms of offering accessible resources for developers; Tags unique to litgpt: deep-learning, ai, llm-inference, low-level-implementation; Also covers Model Training, Inference & Serving; When needing extensive customization options for large language model training.

### When should I avoid open-llms?

Last GitHub push was 511 days ago (dormant maintenance, Feb 13, 2025). Validate activity before betting a new project on open-llms. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid litgpt?

Avoid if seeking general, one-size-fits-all abstractions that simplify usage (LitGPT prioritizes speed and minimalism). Not suitable if your project requires models to be distributed or supported under a different license than Apache-2.0. If you need rapid prototyping with pre-built components and prefer toolkits other than LitGPT's direct approach.

### Is open-llms or litgpt more popular on GitHub?

litgpt has more GitHub stars (13,467 vs 12,827). Stars measure visibility, not whether either tool fits your constraints.

### Are open-llms and litgpt open source?

Yes - both are open-source projects on GitHub (open-llms: Apache-2.0, litgpt: Apache-2.0).

### Where can I find alternatives to open-llms or litgpt?

GraphCanon lists graph-backed alternatives at /tools/eugeneyan-open-llms/alternatives and /tools/lightning-ai-litgpt/alternatives (/tools/eugeneyan-open-llms/alternatives.md, /tools/lightning-ai-litgpt/alternatives.md), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/eugeneyan-open-llms-vs-lightning-ai-litgpt.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, open-llms or litgpt?

open-llms: Dormant. litgpt: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for open-llms and litgpt?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: open-llms: /tools/eugeneyan-open-llms/trust; litgpt: /tools/lightning-ai-litgpt/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=eugeneyan-open-llms`](/api/graphcanon/graph?tool=eugeneyan-open-llms)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_