diff --git a/families/qwen3_8/checkpoint_mapper.py b/families/qwen3_8/checkpoint_mapper.py
index dfe3fcf16..1c23b92ac 100644
--- a/families/qwen3_8/checkpoint_mapper.py
+++ b/families/qwen3_8/checkpoint_mapper.py
@@ -166,7 +166,7 @@ def _apply_block_scales(values: np.ndarray, scale_inv: np.ndarray) -> np.ndarray
 
 
 
-# ModelOpt MIXED_PRECISION checkpoints (RadixArk/Qwen3.8-27B-NVFP4) carry two
+# ModelOpt MIXED_PRECISION checkpoints (nvidia/Qwen3.8-27B-NVFP4) carry two
 # schemes side by side, described by quantization_config.config_groups:
 #
 #   FP8   attention and DeltaNet projections: float8_e4m3 weights with a single
diff --git a/families/qwen3_8/quantization.py b/families/qwen3_8/quantization.py
index bca9c0c85..fc6ebfc73 100644
--- a/families/qwen3_8/quantization.py
+++ b/families/qwen3_8/quantization.py
@@ -3,7 +3,7 @@
 
 """Qwen3.8-owned NVFP4 + FP8 TensorRT Q/DQ graph context.
 
-RadixArk/Qwen3.8-27B-NVFP4 is a ModelOpt MIXED_PRECISION export that carries
+nvidia/Qwen3.8-27B-NVFP4 is a ModelOpt MIXED_PRECISION export that carries
 two quantization schemes side by side:
 
   NVFP4  MLP projections (gate/up/down) and lm_head: E2M1 values packed two
@@ -474,7 +474,7 @@ def calibrate_qwen3_8_nvfp4(
     if not scales:
         raise RuntimeError(
             "Qwen3.8 quantization calibration found no quantized tensors in "
-            "the checkpoint; is this a RadixArk/Qwen3.8-27B-NVFP4-style "
+            "the checkpoint; is this an nvidia/Qwen3.8-27B-NVFP4-style "
             "checkpoint?"
         )