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LLaMa-Factory

The AI Engineer presents LLaMa-Factory

Overview

LLaMA Factory lets you easily fine-tune & train open-source LLMs like LLaMA, ChatGLM, & Falcon via a web UI. Supports techniques like LoRA for 3.7x faster training than P-tuning.

Description

LLaMA Factory is an open-source framework that dramatically makes training and fine-tuning large language models (LLMs) more accessible. With an intuitive web interface, it allows rapid iteration and experimentation with the latest techniques like LoRA tuning.

##💡 LLaMa-Factory Key Highlights

  • 🤗 Supports state-of-the-art open-source LLMs, including LLaMA, ChatGLM, Falcon, and BLOOM, with model sizes from 560M to 180B parameters.
  • ⚡️ Enables pre-training, supervised fine-tuning, reinforcement learning, and other training approaches on a single GPU or distributed cluster.
  • 📚 Provides over 40 datasets in English and Chinese across domains like dialog, QA, sequence generation, and more. Custom datasets can also be used.
  • ⏱️ Leverages efficiency innovations like LoRA and 4-8 bit quantization for up to 3.7x faster training speeds and reduced GPU memory usage compared to methods like P-tuning.
  • 🚀 Exports fine-tuned models that can be easily deployed for inference through API, CLI, or web demos.

By dramatically simplifying LLM experimentation, LLaMA Factory accelerates the research and development of conversational AI. Whether you're an enterprise, startup, or independent developer, it's an invaluable resource for creating production-grade models.

🤔 Why should The AI Engineer care about LLaMa-Factory?

  • 🚀 Rapid prototyping - Quickly build and iterate on LLMs for proof of concepts without infrastructure overhead. Faster experimentation means faster innovation.
  • ⚙️ Customization - Fine-tune models precisely as you need through exposed parameters like batch size, learning rate, hyperparameters, etc. Tailor to your use case.
  • 🧑‍🏫 Education - Understand the inner workings of techniques like LoRA tuning by tweaking configs. Ideal for hands-on learning.
  • ⏰ Efficiency - Leverage innovations like LoRA and model quantization to slash training times and costs. Do more with less.
  • 🤝 Community - Contribute to pushing state-of-the-art for LLMs. Be part of discussions and development on the latest techniques.

In summary, LLaMA Factory combines simplicity and depth for rapidly building customized LLMs. Whether prototyping new ideas or deploying specialized models, it's an essential tool for any AI engineer working at the forefront of conversational AI.

📊 LLaMa-Factory Stats

  • 👷🏽‍♀️ Builders: Yaowei Zheng, Yuchen
  • 👩🏽‍💻 Contributors: 27
  • 💫 GitHub Stars: 7.6k
  • 🍴 Forks: 1.3k
  • 👁️ Watch: 60
  • 🪪 License: Apache-2.0
  • 🔗 Links: Below 👇🏽

🖇️ LLaMa-Factory Links


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