https://github.com/tloen/alpaca-lora

Instruct-tune LLaMA on consumer hardware
https://github.com/tloen/alpaca-lora

Last synced: about 2 months ago
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Instruct-tune LLaMA on consumer hardware

• Host: GitHub
• URL: https://github.com/tloen/alpaca-lora
• Owner: tloen
• License: apache-2.0
• Created: 2023-03-13T21:52:36.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-24T07:16:52.000Z (5 months ago)
• Last Synced: 2024-01-28T23:12:58.474Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 27.1 MB
• Stars: 17,803
• Watchers: 155
• Forks: 2,169
• Open Issues: 359
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - tune LLaMA on consumer hardware (Jupyter Notebook)
• my-awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-totally-open-chatgpt - tloen/alpaca-lora - rank adaptation (LoRA). ([tatsu-lab/stanford_alpaca](https://github.com/tatsu-lab/stanford_alpaca) / Other LLaMA-derived projects:)
• awesome-llmops - alpaca-lora -  - Instruct-tune LLaMA on consumer hardware. (Tools (GitHub) / LLMOps vs MLOps)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• Absolute-Awesome - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-llm - alpaca-lora -  - Instruct-tune LLaMA on consumer hardware. (Materials / GitHub repositories)
• awesome-ChatGPT-repositories - alpaca-lora - Instruct-tune LLaMA on consumer hardware (Langchain)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-foundation-models - [code
• my-awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• my-awesome-starred - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-totally-open-chatgpt - tloen/alpaca-lora - rank adaptation (LoRA). ([tatsu-lab/stanford_alpaca](https://github.com/tatsu-lab/stanford_alpaca) / Other LLaMA-derived projects:)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome_open_llms - alpaca-lora
• awesome-llmops - alpaca-lora - tune LLaMA on consumer hardware |  | (Training / Foundation Model Fine Tuning)
• awesome-stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-starts - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - alpaca-lora - tune LLaMA on consumer hardware | tloen | 17754 | (Jupyter Notebook)
• awesome-stars - alpaca-lora - tune LLaMA on consumer hardware | tloen | 18310 | (Jupyter Notebook)
• awesome-chatgpt - Alpaca Lora - following model fine tuned on Facebook LLaMA 7B model (Open Source Models / 3P SDK)
• awesome-prompt-engineering - Alpaca-LoRA - Low-Rank LLaMA Instruct-Tuning, Instruct-tune LLaMA on consumer hardware . (Projects:)
• AiTreasureBox - tloen/alpaca-lora - 06-12_18313_1](https://img.shields.io/github/stars/tloen/alpaca-lora.svg) <a alt="Click Me" href="https://huggingface.co/spaces/tloen/alpaca-lora" target="_blank"><img src="https://img.shields.io/badge/%F0%9F%A4%97-Spaces-brightgreen" alt="Open in Spaces"/></a> | Instruct-tune LLaMA on consumer hardware| (Repos)
• Awesome-LLMOps - alpaca-lora - lora.svg?style=social) - Instruct-tune LLaMA on consumer hardware (Foundation Model Fine Tuning)
• stars - tloen/alpaca-lora - Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-open-gpt - alpaca-lora - lora | 1. 使用了LoRA轻量级模型2.只需要训练很小一部分参数就可以获得媲美 Standford Alpaca 模型的效果3.要RTX 4090才能玩 | (精选开源项目合集 / GPT开源平替机器人)
• awesome-open-gpt - alpaca-lora - lora | 1. 使用了LoRA轻量级模型2.只需要训练很小一部分参数就可以获得媲美 Standford Alpaca 模型的效果3.要RTX 4090才能玩 | (精选开源项目合集 / GPT开源平替机器人🔥🔥🔥)
• awesome-stars - tloen/alpaca-lora - `★18314` Instruct-tune LLaMA on consumer hardware (Jupyter Notebook)
• awesome-stars - alpaca-lora - tune LLaMA on consumer hardware | tloen | 18319 | (Jupyter Notebook)
• StarryDivineSky - tloen/alpaca-lora - davinci-003质量相似的Instruct模型，可以在Raspberry Pi上运行（用于研究），并且代码很容易扩展到 13b ， 30b 和 65b模型。 (文本生成、文本对话 / 类ChatGPT大语言对话模型及数据)
• awesome-open-chatgpt - tloen/alpaca-lora - rank adaptation (LoRA). ([TavernAI/TavernAI](https://github.com/TavernAI/TavernAI) / 数据)