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---
metrics:
- accuracy
---
---
license: apache-2.0
language: am
* **DeepSpeed-RLHF**系统训练:DeepSpeed-HE 能够在 RLHF 中无缝地在推理和训练模式之间切换,使其能够利用来自 **DeepSpeed-Inference** 的各种优化,如张量并行计算和高性能CUDA算子进行语言生成,同时对训练部分还能从 **ZeRO- 和 LoRA-based** 内存优化策略中受益。DeepSpeed-HE 还能够自动在 RLHF 的不同阶段进行智能的内存管理和数据缓存。
* Train Data:(English)--data_path Dahoas/rm-static Dahoas/full-hh-rlhf Dahoas/synthetic-instruct-gptj-pairwise yitingxie/rlhf-reward-datasets openai/webgpt_comparisons stanfordnlp/SHP
* Train Data:(Chinese)--data_path wangrui6/Zhihu-KOL Cohere/miracl-zh-queries-22-12 Hello-SimpleAI/HC3-Chinese mkqa-Chinese
* 可自定义actor model 和 reward model,亦可单独训练rlhf model
* **Usage:**
git clone https://github.com/microsoft/DeepSpeedExamples
cd DeepSpeedExamples/applications/DeepSpeed-Chat
pip install -r requirements.txt
python chat.py --path Laurie/opt1.3b-deepspeed-chat