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41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from vllm import LLM, SamplingParams
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from vllm.assets.image import ImageAsset
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def run_phi3v():
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model_path = "microsoft/Phi-3-vision-128k-instruct"
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# Note: The default setting of max_num_seqs (256) and
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# max_model_len (128k) for this model may cause OOM.
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# You may lower either to run this example on lower-end GPUs.
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# In this example, we override max_num_seqs to 5 while
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# keeping the original context length of 128k.
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llm = LLM(
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model=model_path,
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trust_remote_code=True,
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max_num_seqs=5,
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)
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image = ImageAsset("cherry_blossom").pil_image
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# single-image prompt
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prompt = "<|user|>\n<|image_1|>\nWhat is the season?<|end|>\n<|assistant|>\n" # noqa: E501
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sampling_params = SamplingParams(temperature=0, max_tokens=64)
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outputs = llm.generate(
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{
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"prompt": prompt,
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"multi_modal_data": {
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"image": image
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},
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},
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sampling_params=sampling_params)
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for o in outputs:
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generated_text = o.outputs[0].text
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print(generated_text)
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if __name__ == "__main__":
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run_phi3v()
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