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original.py

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+
+model_name_or_path = "/home/yerong2/models/internlm-xcomposer2d5-7b"
+
+import torch
+from transformers import AutoModel, AutoTokenizer
+
+
+model = AutoModel.from_pretrained(model_name_or_path, trust_remote_code=True).eval().cuda().half()
+
+
+from flash_attn import flash_attn_qkvpacked_func, flash_attn_func
+
+tokenizer = AutoTokenizer.from_pretrained(model_name_or_path, trust_remote_code=True)
+tokenizer = tokenizer
+model.tokenizer = tokenizer
+
+query = 'Image1 <ImageHere>; Image2 <ImageHere>; Image3 <ImageHere>; I want to buy a car from the three given cars, analyze their advantages and weaknesses one by one'
+image = ['./examples/cars1.jpg',
+        './examples/cars2.jpg',
+        './examples/cars3.jpg',]
+with torch.autocast(device_type='cuda', dtype=torch.bfloat16):
+    response, his = model.chat(tokenizer, query, image, do_sample=False, num_beams=3, use_meta=True)
+print(response)
+