Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
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+1.9K
STARS · LAST 30 DAYS
63
PER DAY
#38
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +1.9K | +5.7K |
| Per day | 1 | 63 | 63 |
| Forks gained | +0 | +184 | +461 |
LlamaFactory gained 1.9K stars in the last 30 days, about 63 a day, and now has 75.3K. It is about 3 years old and has averaged roughly 25.1K stars a year. It ranks #38 among Python repositories and #145 across all languages on GitHubRepo.
Trending Record
25
DAYS ON TRENDING
#125
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
LlamaFactory has maintained a continuous presence across global trending indexes, peaking at #125. Below is the 30-day activity profile:
💡 Overview
LlamaFactory is an open-source project written in Python: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024).
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, ai, deepseek. 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 LlamaFactory⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
LlamaFactory 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 LlamaFactory.
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 LlamaFactory using your package manager: `pip install LlamaFactory`
Initialize your project workspace or configuration file for LlamaFactory.
Import LlamaFactory into your codebase or invoke it directly from your terminal.
Execute your test suite or run `LlamaFactory --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
hiyouga/LlamaFactory is currently ranked #145 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #140 | unslothai/unsloth | Python | ★ 78K | Compare ↗ |
| #141 | shareAI-lab/learn-claude-code | Python | ★ 77.9K | Compare ↗ |
| #142 | grafana/grafana | TypeScript | ★ 77.3K | Compare ↗ |
| #143 | nestjs/nest | TypeScript | ★ 76.8K | Compare ↗ |
| #144 | caddyserver/caddy | Go | ★ 76.2K | Compare ↗ |
| #145 | hiyouga/LlamaFactory This Project | Python | ★ 75.3K | |
| #146 | apache/superset | Python | ★ 75.1K | Compare ↗ |
| #147 | Eugeny/tabby | TypeScript | ★ 74.8K | Compare ↗ |
| #148 | headroomlabs-ai/headroom | Python | ★ 74.5K | Compare ↗ |
| #149 | ruvnet/ruflo | TypeScript | ★ 74.4K | Compare ↗ |
| #150 | career-ops-hq/career-ops | JavaScript | ★ 74.3K | Compare ↗ |
Frequently Asked Questions
What does LlamaFactory do? +
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
What language is LlamaFactory written in? +
The primary language is Python. Topics include: agent, ai, deepseek, fine-tuning, gemma.
Is LlamaFactory actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 1,167 open issues being tracked.
How many stars does LlamaFactory have? +
LlamaFactory has 75,251 stars and 9,220 forks on GitHub.
How does LlamaFactory rank among GitHub repositories? +
With 75,251 stars, hiyouga/LlamaFactory is ranked #145 globally across all repositories tracked on GitHubRepo and #38 among Python projects.
What license is LlamaFactory distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
