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An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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我看训练文本是text only,在训练时好像没有区分instruction和output,是直接concat在一起训练的吗?

Hi, I can see that you released models that are not based on LLaMA. What datasets were they trained on, though? I can see in `data/download.sh` you download datasets such...

![IILAA7TOFLW`DZDRZGFPG18](https://user-images.githubusercontent.com/129244270/233992267-bb41f6bc-7b15-488c-a0e5-74bbcf931c1f.png) 像这样我试了好久

如果我有大量的领域文本,能用LMFlow直接在纯文本上训练吗?也就是直接把纯文本喂给模型。

window 10 成功安装lmflow 目前GPU RTX2060s 能运行那个模型,怎么运行?

比如论文之类的,想知道里面的训练结构,模型细节

Greetings! I am very interested in your work RAFT. When I read the paper, you still use the RL methods to score the model's output. It isn't very clear to...

Why is there no “config.json” after training with the file “run_finetune_with_lora_save_aggregated_weights.sh”? ![1681644557280](https://user-images.githubusercontent.com/106303556/232306886-62067329-81be-4a72-864f-14d93709c508.jpg)

请问repo中提供了raft fine-tuning后测试模型效果的代码吗?比如在imdb测试集上计算reward或perplexity

在执行 pip install -e . 命令报错 Preparing metadata (setup.py) ... error error: subprocess-exited-with-error × python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> [9 lines of output]...

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