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Update README.md

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@@ -162,11 +162,11 @@ import torch
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  # Load model (optimized for edge deployment)
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  model = AutoModelForCausalLM.from_pretrained(
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- "DMindAI/DMind-2-4B",
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  torch_dtype=torch.float16, # Use half precision to save VRAM
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  device_map="auto"
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  )
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- tokenizer = AutoTokenizer.from_pretrained("DMindAI/DMind-2-4B")
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  # Investment analysis example
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  prompt = """
 
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  # Load model (optimized for edge deployment)
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  model = AutoModelForCausalLM.from_pretrained(
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+ "Qwen/Qwen3-4B-Thinking-2507",
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  torch_dtype=torch.float16, # Use half precision to save VRAM
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  device_map="auto"
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  )
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+ tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B-Thinking-2507")
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  # Investment analysis example
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  prompt = """