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README.md
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@@ -83,6 +83,26 @@ output = model.generate(**inputs, max_new_tokens=200, do_sample=False)
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print(processor.decode(output[0][2:], skip_special_tokens=True))
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```
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### Model optimization
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#### 4-bit quantization through `bitsandbytes` library
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print(processor.decode(output[0][2:], skip_special_tokens=True))
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```
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When prompting with videos/3D/multi-view input, prompt like following:
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```python
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# if you downsampled n frames from the input
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image_tokens = "<image>" * n
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prompt = f"<|im_start|>user {image_tokens}\nWhat are these?|im_end|><|im_start|>assistant"
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```
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When prompting with interleaved images and videos, prompt like following:
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```python
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# two interleaved images
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prompt = "<|im_start|>user <image><image>\nWhat are these?|im_end|><|im_start|>assistant"
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# two interleaved videos, if you downsampled n frames in total from both videos
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image_tokens = "<image>" * n
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prompt = f"<|im_start|>user {image_tokens}\nWhat are these?|im_end|><|im_start|>assistant"
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```
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### Model optimization
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#### 4-bit quantization through `bitsandbytes` library
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