Create load-big-models.py

load-big-models.py

@@ -0,0 +1,30 @@
+import time
+
+t_ini = time.time()
+import torch
+from transformers import AutoModelForCausalLM, Mxfp4Config
+print(f"Time for the imports: {time.time() - t_ini:.2f} s")
+
+model_id = "openai/gpt-oss-20b"
+device = torch.device("cuda:1")
+
+t0 = time.time()
+torch.cuda.synchronize(device)
+print(f"Time for cuda warmup before loading model: {time.time() - t0:.2f} s")
+t0 = time.time()
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, dtype=torch.bfloat16, device_map=device,
+    quantization_config=Mxfp4Config(dequantize=True)
+)
+torch.cuda.synchronize(device)
+dt = time.time() - t0
+print(f"time to load the model: {dt:.2f}")
+
+max_mem = torch.cuda.max_memory_allocated(device) / 1024**3
+current_mem = torch.cuda.memory_allocated(device) / 1024**3
+print(f"Max: {max_mem:.2f} GiB")
+print(f"Current: {current_mem:.2f} GiB")
+print(f"Full time: {time.time() - t_ini:.2f} s")
+
+model.to("cpu")
+del model