File size: 945 Bytes
bbaf249 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
from transformers import Qwen2_5_VLForConditionalGeneration
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
model = Qwen2_5_VLForConditionalGeneration.from_pretrained(model_path, trust_remote_code=True, device_map="cpu", torch_dtype="auto")
print("Model loaded successfully.")
print("First 20 Parameter names:")
for i, (name, _) in enumerate(model.named_parameters()):
print(name)
if i > 20:
break
print("\nSearching for embed_tokens:")
for name, _ in model.named_parameters():
if "embed_tokens" in name:
print(name)
except Exception as e:
print(f"Error loading model: {e}")
|