Efficient Triton Kernels for LLM Training
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/linkedin/Liger-Kernel?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/linkedin/Liger-Kernel?utm_source=readme_badge) [](https://githubrepo.cloud/repo/linkedin/Liger-Kernel?utm_source=readme_badge) [](https://githubrepo.cloud/repo/linkedin/Liger-Kernel?utm_source=readme_badge)Momentum
+166
STARS · LAST 30 DAYS
6
PER DAY
#244
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +42 | +166 | +540 |
| Per day | 6 | 6 | 6 |
| Forks gained | +3 | +12 | +31 |
Liger-Kernel gained 166 stars in the last 30 days, about 6 a day, and now has 6.6K. It is about 2 years old and has averaged roughly 3.3K stars a year. It ranks #244 among Python repositories and #1,549 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3821
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Liger-Kernel has maintained a continuous presence across global trending indexes, peaking at #3821. Below is the 30-day activity profile:
💡 Overview
Liger-Kernel is an open-source project written in Python: Efficient Triton Kernels for LLM Training.
Engineered for speed, consistency, and developer ease, it solves common hurdles in finetuning, gemma2, hacktoberfest. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Liger-Kernel⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Liger-Kernel coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with Liger-Kernel.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install Liger-Kernel using your package manager: `pip install Liger-Kernel`
Initialize your project workspace or configuration file for Liger-Kernel.
Import Liger-Kernel into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Liger-Kernel --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
linkedin/Liger-Kernel is currently ranked #1,549 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,544 | ibis-project/ibis | Python | ★ 6.7K | Compare ↗ |
| #1,545 | mizorewww/laya-mlx | Python | ★ 6.7K | Compare ↗ |
| #1,546 | x402-foundation/x402 | TypeScript | ★ 6.7K | Compare ↗ |
| #1,547 | apache/zeppelin | Java | ★ 6.7K | Compare ↗ |
| #1,548 | iorate/ublacklist | TypeScript | ★ 6.7K | Compare ↗ |
| #1,549 | linkedin/Liger-Kernel This Project | Python | ★ 6.6K | |
| #1,549 | prisma/prisma-examples | TypeScript | ★ 6.6K | Compare ↗ |
| #1,549 | shiaho777/web-to-app | Kotlin | ★ 6.6K | Compare ↗ |
| #1,552 | microsoft/FASTER | C# | ★ 6.6K | Compare ↗ |
| #1,553 | lexiforest/curl_cffi | Python | ★ 6.6K | Compare ↗ |
| #1,553 | automerge/automerge | JavaScript | ★ 6.6K | Compare ↗ |
Frequently Asked Questions
What does Liger-Kernel do? +
Efficient Triton Kernels for LLM Training
What language is Liger-Kernel written in? +
The primary language is Python. Topics include: finetuning, gemma2, hacktoberfest, llama, llama3.
Is Liger-Kernel actively maintained? +
Yes, the last recorded push was on Oct 7, 2026 with 196 open issues being tracked.
How many stars does Liger-Kernel have? +
Liger-Kernel has 6,647 stars and 616 forks on GitHub.
How does Liger-Kernel rank among GitHub repositories? +
With 6,647 stars, linkedin/Liger-Kernel is ranked #1,549 globally across all repositories tracked on GitHubRepo and #244 among Python projects.
What license is Liger-Kernel distributed under? +
The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.
