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I am using the Docker container nvcr.io/nvidia/nemo:24.01.framework with torchrun command. My initial model is a converted Mistral 7B to Nemo format. Execution looks like this:
When I use L4 GPU everything is ok (but end up with Cuda OOM) also H100 works. On the other hand, when I switch to A100 80GB initialization hangs before checkpoint loading. Below is the screenshot for L4. For A100 it hangs before (I never see a blue message) "Loading distributed checkpoint ...". Any ideas how to fix it?
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I am trying to run an example that looks similar to this one: https://github.com/NVIDIA/NeMo/blob/48b8204d57e59c8790aaa6eaa20384b046b1a574/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py
I am using the Docker container
nvcr.io/nvidia/nemo:24.01.framework
withtorchrun
command. My initial model is a converted Mistral 7B to Nemo format. Execution looks like this:When I use L4 GPU everything is ok (but end up with Cuda OOM) also H100 works. On the other hand, when I switch to A100 80GB initialization hangs before checkpoint loading. Below is the screenshot for L4. For A100 it hangs before (I never see a blue message) "Loading distributed checkpoint ...". Any ideas how to fix it?
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