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Torchtitan is a very exciting project, and its support for native torch models is more researcher-friendly. I am currently working on a mamba+moe+sparse attention architecture, and I want to train a model with 15B parameters and about 1.5B activations. However, I am not sure if expert parallelism is well supported, and whether architectures like Mamba are fully compatible. I would greatly appreciate it if someone could give some suggestions.
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Torchtitan is a very exciting project, and its support for native torch models is more researcher-friendly. I am currently working on a mamba+moe+sparse attention architecture, and I want to train a model with 15B parameters and about 1.5B activations. However, I am not sure if expert parallelism is well supported, and whether architectures like Mamba are fully compatible. I would greatly appreciate it if someone could give some suggestions.
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