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When I used the Minicpm-llama3-v2.5 to make multi turns conversation for one image, I found the model's output is not complete.
I appreciate the model's complete answer when doing multi turns conversation based on a single image for one dataset.
No response
- OS: - Python: - Transformers: - PyTorch: - CUDA (`python -c 'import torch; print(torch.version.cuda)'`):
The text was updated successfully, but these errors were encountered:
Thanks for your excellent work! I am eager to hearing your reply.
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hello ,please show me your example.
code captions As is shown, sometimes the answer is not complete.
Hello, can you give me some suggestions?
hello,Do the following problems occur frequently? I think you can try some different sampling arguments。
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是否已有关于该错误的issue或讨论? | Is there an existing issue / discussion for this?
该问题是否在FAQ中有解答? | Is there an existing answer for this in FAQ?
当前行为 | Current Behavior
When I used the Minicpm-llama3-v2.5 to make multi turns conversation for one image, I found the model's output is not complete.
期望行为 | Expected Behavior
I appreciate the model's complete answer when doing multi turns conversation based on a single image for one dataset.
复现方法 | Steps To Reproduce
No response
运行环境 | Environment
备注 | Anything else?
No response
The text was updated successfully, but these errors were encountered: