from transformers import AutoModel
import torch
import os

# Use the path from the workspace info
model_path = "/data/shuimu.chen/Qwen2.5-VL-Instruct"

print(f"Checking model at {model_path}")
if not os.path.exists(model_path):
    print(f"Model path does not exist: {model_path}")
    exit(1)

try:
    # Load on meta device to avoid OOM and be fast
    # We use AutoModelForCausalLM or Qwen2_5_VLForConditionalGeneration if available
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True, device_map="cpu", torch_dtype="auto")
    print("Model loaded successfully.")
    print("Parameter names:")
    for name, _ in model.named_parameters():
        if "visual" in name or "patch" in name:
            print(name)
except Exception as e:
    print(f"Error loading model: {e}")