介绍 (Introduction)
retnet-1.3B-toy 是一个开源模型。主要是为探索模型小型化，测试小数据量训练的最佳效果。
- 根据retnet论文(https://arxiv.org/pdf/2307.08621.pdf)开发并基于transformer文本生成模型。该仓库的算法实现根据repo进行(https://github.com/syncdoth/RetNet.git)
- 该仓库目标是建立一个retnet基础训练仓库，建议做学习研究使用，不建议商用。
- 该仓库只使用wiki文本和少量sharegpt/belle/多轮指令数据集训练而成。包含中英文数据，数据估算占比7:3。
- 本次放出pretrain模型与sft微调后模型。
- 本模型使用了tokenizer为百川大模型的第一版分词器，共包含64000个vocab。
- 已知问题：
- 会出现重复句子回答，可以调节topk减轻该问题。
- 会出现回答不全问题，可以提高max_new_token缓解该问题。
- 由于知识储备不足，回答准确性一般。
retnet-1.3B-toy is an open source model.
- Developed according to retnet paper (https://arxiv.org/pdf/2307.08621.pdf) and based on transformer text generation model. The algorithmic implementation of this repository is carried out according to repo (https://github.com/syncdoth/RetNet.git)
- The goal of this repository is to suggest a retnet base training repository, which is recommended to be used for learning research and not for commercial use.
- This repository is trained using only wiki text and a small amount of sharegpt/belle instruction dataset.
- This release pretrain model with sft fine-tuned model.
- This model uses the tokenizer as the first version of the BaiChuan model tokenizer, which contains a total of 64,000 vocabs.
- known issues:
- Repeated sentence answers will occur, topk can be adjusted to mitigate the problem.
- Incomplete answers will occur, you can increase max_new_token to alleviate the problem.
- Answer accuracy is average due to insufficient knowledge base.
软件依赖 (Dependencies)
pip install torch transformers
模型&代码仓库（Model&Code Repo）
- 基础预训练模型(pretrain model) (https://huggingface.co/wac81/toy_retnet_1.3b_pretrain)
- sft微调后模型(sft model) (https://huggingface.co/wac81/toy_retnet_1.3b)
- Code Repo (https://github.com/wac81/toy_retnet_1.3b)
最小需求 (Minimum Requirements)
模型可以完全加载在8GB显卡上，8bit/4bit量化后，理论上可以加载在4GB显卡上
The model can be fully loaded on an 8GB graphics card, and after 8bit or 4bit quantization, it can theoretically be loaded on a 4GB graphics card
代码调用 (Code Usage)
sft模型下载后放入checkpoints/checkpoint-21000目录，可以通过如下代码调用 retnet-1.3B-toy 模型来生成对话：
After the sft model is downloaded and put into the checkpoints/checkpoint-21000 directory, you can call the retnet-1.3B-toy model to generate a dialog with the following code:
python generate.py
user:中医如何医治风寒
system:中医的治疗方法主要包括针灸、针灸、推拿、太极拳等。针灸可以帮助人体解毒、调节身体温度，针灸可以刺激人体的血液循环，推拿可以促进血液循环，推拿可以促进血液循环，从而缓解身体不适。针灸可以帮助人体解毒、调节身体温度，推拿可以促进血液循环，从而缓解身体不适。太极拳则可以帮助人体解毒、调节身体温度，推拿可以促进血液循环，从而缓解身体不适。太极拳则可以帮助人体解毒、调节身体温度，推拿可以促进血液循环，
协议 (License)
本仓库的代码依照 Apache-2.0 协议开源，retnet-1.3B-toy 模型的权重的使用则需要遵循 Model License。
The code in this repository is open-sourced under the Apache-2.0 license, while the use of the retnet-1.3B-toy model weights needs to comply with the Model License.