Comments (1)
thanks, that's very interesting, and might explain why we never run into the problem ourselves during the real training runs. will investigate more.
in the meantime, all models seem to train fine with the configs we recommend in the docu
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Related Issues (20)
- Any plans to rebase the codebase to most recent Megatron-LM for MoE?
- Does it support sequence parallel? HOT 1
- Error in document (https://epfllm.github.io/Megatron-LLM/guide/instruction_tuning.html#data-preprocessing)
- llama2-7B AssertionError: padded_vocab_size value from checkpoint (32000) is not equal to the input argument value (32256) #81 HOT 1
- Gemma Support
- Introduce Sailor Models HOT 1
- run finetune llama2-7B error HOT 2
- run finetune llama2-7B error HOT 1
- finetune llama2-7B when set --seq_length 4096 error HOT 1
- RuntimeError: seq_len <= 2048 INTERNAL ASSERT FAILED HOT 4
- llama2-7B AssertionError: padded_vocab_size value from checkpoint (32000) is not equal to the input argument value (32256) HOT 1
- args.make_vocab_size_divisible_by set failed HOT 1
- One question about the permute function code in permute_qkv.py HOT 2
- LLaMa and Mistral 7B pretraining support HOT 2
- LLaMA2-70B Inference Optmization HOT 1
- error: preprocess.py file error while working on custom data
- How to load from a saved intermediate checkpoint? HOT 3
- Support QWen๏ผ HOT 1
- Multi nodes HOT 1
- Correctness when enabling FlashAttention + Sequence Parallel at the same time? HOT 2
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