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sft_skt.py

@@ -124,8 +124,9 @@ def main():
             bnb_4bit_compute_dtype=torch.float16,
             bnb_4bit_use_double_quant=True,
             llm_int8_enable_fp32_cpu_offload=True)
-        kw["device_map"] = "auto"          # splits across BOTH T4s (no max_memory)
-        print("[model] 4-bit NF4, fp16 compute, auto device_map")
+        kw["low_cpu_mem_usage"] = False    # FIX: meta tensor error
+        kw["device_map"] = {"": 0}         # single GPU (4-bit fits in 16GB)
+        print("[model] 4-bit NF4, fp16 compute, GPU0, no meta")
     else:
         kw["torch_dtype"] = torch.bfloat16
     model = AutoModelForCausalLM.from_pretrained(args.model, **kw)