nvidia/C-RADIOv4-H
Feature Extraction • 0.7B • Updated • 17.2k • 89
Liam Schoneveld
nlml
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commented on SmolLM3: smol, multilingual, long-context reasoner over 1 year ago
Ah I see, thanks a lot!
commented on SmolLM3: smol, multilingual, long-context reasoner over 1 year ago
Great work! I have a question/curiosity. What is the advantage of splitting the model across two GPUs during training? (mentioned you use Tensor Parallelism (TP) of 2, Data Parallelism (DP) of 4 on each 8-GPU node). I am guessing the model can fit on a single GPU given it is small? I would have thought in such a case the most efficient implementation would be to use DP=8 ?
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Control lips, teeth and tongue for lip sync task.
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#20 opened over 3 years ago
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Temir