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InternLM2-xcomposer has the same size of LLM as LLaVA-1.5 and the same CLIP. However, the fine-tuning time is almost 3.5 times slower than LLaVA-1.5. What's causing it?
The text was updated successfully, but these errors were encountered:
Our model is designed for high-resolution and long-context inputs/outputs. You can adjust the fine-tune hyper-parameters, e.g., hd_num, max_len to accelerate.
InternLM2-xcomposer has the same size of LLM as LLaVA-1.5 and the same CLIP. However, the fine-tuning time is almost 3.5 times slower than LLaVA-1.5. What's causing it?
The text was updated successfully, but these errors were encountered: