Comments (11)
I'll fix the Numpy problem.
As for the data processing, Megatron-LM tools are straight forward enough. You can modify it for your own use case.
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Fixed by 50804a0
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Typically, the root cause is on other rank.
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同求,还是希望出一个从数据处理到训练再到推理的教程,这样也会有更多人使用吧
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打扰了,辛苦您再看一下这个问题。单机四卡,看着像通信的问题,但是脚本中仅修改了world_size=4
,以及nproc_per_node=4
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麻烦贴一下完整的报错信息
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其实还是这个问题
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前后的日志也贴一下
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你可以看看在别的rank 上是不是有编译失败的
https://github.com/alibaba/Megatron-LLaMA/blob/main/megatron/initialize.py#L126
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Related Issues (20)
- 每次GA的backward都需要做通信 HOT 5
- CUDA_DEVICE_MAX_CONNECTIONS 设置问题
- 是否兼容sequence parallel HOT 2
- 请问目前Megatron-LLaMA支持LLaMA2-70B的训练吗? HOT 1
- INT4 量化的模型可以被Megatron-LLaMA支持吗? HOT 1
- hf权重转换代码小bug
- 求一份Serving的教程代码 HOT 1
- 问下readme中32机的吞吐对应的参数可以提供下吗,目前没有复现出来 HOT 5
- llama中decoder layer层里面的MLP问题 HOT 4
- Unable to import Megatron HOT 8
- Megatron-LM权重转hf格式 HOT 4
- LLaMAModel._causal_lm_process中的labels和logits对齐方法疑问 HOT 3
- 出现 forward() missing 1 required positional argument: 'memory_efficient'
- 使用distributed optimzer时grad_norm计算准确度的疑问 HOT 1
- 在模型转换权重时遇到了如下问题 Zarr-based strategies will not be registered because of missing packages
- 注意力权重转换问题 HOT 2
- 请问是否支持从0训练一个小规模的LLaMA模型,如:1B HOT 1
- sh LLaMA2_7B_standalone.sh
- About batch_size
- Llama 3 Support
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