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Thanks for your interest to our work. We will release chat template in few days.

To be more specified, our codes follows the license of Apache 2.0 and the model weights follows the license of Llama 1 since our model is initialized from Llama1

To be more specified, our codes follows the license of Apache 2.0 and the model weights follows the license of Llama 1 since our model is initialized from Llama1

To be more specified, our codes follows the license of Apache 2.0 and the model weights follows the license of Llama 1 since our model is initialized from Llama1

To be more specified, our codes follows the license of Apache 2.0 and the model weights follows the license of Llama 1 since our model is initialized from Llama1

We have updated the license for Apache-2.0 in the github repository. Please feel free to check it out.

We have updated the license for Apache-2.0 in the github repository. Please feel free to check it out.

We have updated the license in the github repository. Please feel free to check it out.

We have updated the license in the github repository. Please feel free to check it out.

Emu2 is primarily trained on the English corpus. Hence, it may not perform well as expected when dealing with tasks like translation.

Emu2 is primarily trained on the English corpus, which may result in suboptimal performance when dealing with inputs in other languages.

You can try another demo link besides the huggingface one. It is technically more faster since the frontend is deployed in the same region as backend, which greatly reduce the network communication time.