Add debug logging for BF16 dequant to find missing attrs

vllm/patches/deepseek_v4.py

@@ -1728,10 +1728,16 @@ class DeepseekV4Model(nn.Module):
             # BF16 dequantization: attention projections (except wo_a)
             for proj_name in bf16_proj_names:
                 if not hasattr(attn, proj_name):
+                    if layer_idx == 0:
+                        print(f"[CLAWMINE] Layer 0: {proj_name} NOT FOUND on attn (type={type(attn).__name__})")
                     continue
                 mod = getattr(attn, proj_name)
                 if not hasattr(mod, "weight"):
+                    if layer_idx == 0:
+                        print(f"[CLAWMINE] Layer 0: {proj_name} has no weight attr")
                     continue
+                if layer_idx == 0:
+                    print(f"[CLAWMINE] Layer 0: {proj_name} weight dtype={mod.weight.dtype}")
                 if mod.weight.dtype in (torch.uint8, torch.int8):
                     E2M1_LUT = torch.tensor([0, 0.5, 1, 1.5, 2, 3, 4, 6], dtype=torch.bfloat16)
                     self._dequant_nvfp4_to_bf16(mod, E2M1_LUT)