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Distributed training code (based on deepspeed) for BridgeData is now available!
See https://github.com/Stardust-hyx/Bridge-Torch
Since most open-source LLMs are implemented with Pytorch and require memory-efficient distributed training frameworks to fine-tune on, we believe our repository can greatly facilitate the application of Multimodal LLMs on this field.
We provide implementations for the following methods:
Goal-conditioned BC
Goal-condtioned IQL (TODO)
By the way, a novel generative VLM-based BC method is under development by us. Stay tuned.
The text was updated successfully, but these errors were encountered:
A checkpoint for GCBC as well as a torch-version of eval.py is also provided in https://github.com/Stardust-hyx/Bridge-Torch. We will be grateful if you can help check the validity of the checkpoint by trying it out. @HomerW
Thanks in advance!
Distributed training code (based on deepspeed) for BridgeData is now available!
See https://github.com/Stardust-hyx/Bridge-Torch
Since most open-source LLMs are implemented with Pytorch and require memory-efficient distributed training frameworks to fine-tune on, we believe our repository can greatly facilitate the application of Multimodal LLMs on this field.
We provide implementations for the following methods:
By the way, a novel generative VLM-based BC method is under development by us. Stay tuned.
The text was updated successfully, but these errors were encountered: