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To resume coaching from the converted Megatron-LM checkpoint, it really is crucial to properly set up the education parameters to match the preceding learning fee schedule. Use the next location for your coach.max_steps parameter inside your NeMo education configuration:
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The one distinction when utilizing the checkpoint converter Resource’s CLI with a sharded checkpoint is that the checkpoint path argument should issue towards the .index.json file in lieu of the singular .bin file as before. The Resource can discover every one 500+ conversion checkpoints of the corresponding shards, merge them, and change the model.
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Use the right https link when downloading data files from Hugging Face design card internet pages. Use the path which contains …/Uncooked/… for config information. Use The trail that contains …/resolve/… for checkpoint data files.
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That is carried out by loading/preserving a single shard at any given time for pickled checkpoints and loading/conserving one tensor at any given time for Cerebras H5 checkpoints. Streaming conversion is enabled by default; you don’t need for making any variations on the command line arguments. Because of this attribute, you might now have the ability to convert significant checkpoints (e.g.: LLaMA 70B) on a small device (~10GB of RAM).
The script supports tensor parallelism and pipeline parallelism to distribute the design throughout numerous GPUs.
Here's an illustration of the conversion procedure for any pre-qualified OpenAI GPT model, assuming that the NumPy checkpoint
Included in Each individual website page you will find specific conversion checkpoints for every website page that you need to improve. Verify the web pages bundled beneath: