Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: ZhuoyangLiu2005
- License: apache-2.0
- Default Branch: master
- Size: 7.64 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
📦 Installation
The code is built based on Llama_factory using Python 3.10, we also recommand to use Python above Python 3.10. We require PyTorch >= 2.2.0 and CUDA >= 12.0 (It may run with lower versions, but we have not tested it). We recommend using Miniconda and create an environment as follows:
bash
conda create -n ai_rabbi python=3.10
conda activate ai_rabbi
Next, clone this repo and install the required packages with the following commands:
bash
git clone https://github.com/miniFranka/AI-Rabbi
cd AI-Rabbi
pip install -e '.[torch,metrics]'
📈Model Parameter
We release the SFT model's parameters at hugging face, you can directly clone it and use!
💡Getting Started
Chat
You can use the following script to call a chat:
bash
CUDA_VISIBLE_DEVICES=0 llamafactory-cli webchat
--model_name_or_path /path/to/model
--template llama3
or use the ori_test.sh in the repo.
SFT
For more usage about sft, please refer to the Llama_factory
📜️ License
This project is licensed under the MIT License - see the LICENSE file for details.
Owner
- Name: Zhuoyang Liu
- Login: ZhuoyangLiu2005
- Kind: user
- Location: Yiheyuan Rd 5th
- Company: Peking University
- Website: https://minifranka.github.io/
- Repositories: 1
- Profile: https://github.com/ZhuoyangLiu2005
I'm an undergraduate student in Peking University and an intern at PKU-HMI lab. Feel free to contact me!
Citation (CITATION.cff)
cff-version: 1.2.0
date-released: 2024-03
message: "If you use this software, please cite it as below."
authors:
- family-names: "Zheng"
given-names: "Yaowei"
- family-names: "Zhang"
given-names: "Richong"
- family-names: "Zhang"
given-names: "Junhao"
- family-names: "Ye"
given-names: "Yanhan"
- family-names: "Luo"
given-names: "Zheyan"
- family-names: "Feng"
given-names: "Zhangchi"
- family-names: "Ma"
given-names: "Yongqiang"
title: "LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models"
url: "https://arxiv.org/abs/2403.13372"
preferred-citation:
type: conference-paper
conference:
name: "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)"
authors:
- family-names: "Zheng"
given-names: "Yaowei"
- family-names: "Zhang"
given-names: "Richong"
- family-names: "Zhang"
given-names: "Junhao"
- family-names: "Ye"
given-names: "Yanhan"
- family-names: "Luo"
given-names: "Zheyan"
- family-names: "Feng"
given-names: "Zhangchi"
- family-names: "Ma"
given-names: "Yongqiang"
title: "LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models"
url: "https://arxiv.org/abs/2403.13372"
year: 2024
publisher: "Association for Computational Linguistics"
address: "Bangkok, Thailand"