合并权重问题

[red-tie]

在合并7b-hf与奖励模型，sft模型，policy 模型的时候都报错。
Naive integrity check failed. This could imply that some of the checkpoint files are corrupted.

每个模型我都下载两遍，模型本身应该没问题，应该是哪出了问题。

[overal-well-off-society]

(moss) dk@user-SYS-4029GP-TRT2:~/Downloads/MOSS-RLHF-main$ python merge_weight_en.py recover --path_raw /data/dk_downloads/llama-7b-hf --path_diff /data/dk_downloads/sft_model/diff --path_tuned ./models/moss-rlhf-sft-model-7B-en/recover --model_type sft
[2023-10-07 21:07:27,031] [INFO] [real_accelerator.py:158:get_accelerator] Setting ds_accelerator to cuda (auto detect)
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████| 33/33 [00:11<00:00, 2.88it/s]
0%| | 0/291 [00:00<?, ?it/s]model.embed_tokens.weight
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model.norm.weight
lm_head.weight
100%|███████████████████████████████████████████████████████████████████████████████████████████████| 291/291 [00:00<00:00, 315141.35it/s]
100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 291/291 [00:01<00:00, 215.24it/s]
Traceback (most recent call last):
File "merge_weight_en.py", line 181, in
fire.Fire(main)
File "/home/dk/anaconda3/envs/moss/lib/python3.8/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/dk/anaconda3/envs/moss/lib/python3.8/site-packages/fire/core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/home/dk/anaconda3/envs/moss/lib/python3.8/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "merge_weight_en.py", line 177, in main
globals()task
File "/home/dk/anaconda3/envs/moss/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "merge_weight_en.py", line 165, in recover
assert torch.allclose(
AssertionError: Naive integrity check failed. This could imply that some of the checkpoint files are corrupted.

[red-tie]

上面是报错详细信息

[yuanhuachao]

+1，我也遇到了

[red-tie]

已经解决了，把requirements里面的包装一下就可以。命令行运行pip install -r requirements, 里面那个flash-attn可能会报错，我直接把那个删了，希望后续不会有问题。。。

[Ablustrund]

您好，这个之前有同学遇到过，确实可能是包的版本问题。本质上是加载模型时候有一些层被加载（例如旋转位置编码），但是在merge的时候不需要用到这些层。
debug的方式查看diff中有哪些层，是否和原始的llama相对应。

[Ablustrund]

已经解决了，把requirements里面的包装一下就可以。命令行运行pip install -r requirements, 里面那个flash-attn可能会报错，我直接把那个删了，希望后续不会有问题。。。

flash-attn需要外网环境，我们这里安装时也不太稳定，多安装几次会成功。