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@@ -23,7 +23,8 @@ python3 quantize_quark.py \
         --kv_cache_dtype fp8 \
         --num_calib_data 128 \
         --model_export quark_safetensors \
-        --no_weight_matrix_merge
+        --no_weight_matrix_merge \
+        --custom_mode fp8
 # If model size is too large for single GPU, please use multi GPU instead.
 python3 quantize_quark.py \ 
         --model_dir $MODEL_DIR \
@@ -33,7 +34,8 @@ python3 quantize_quark.py \
         --num_calib_data 128 \
         --model_export quark_safetensors \
         --no_weight_matrix_merge \
-        --multi_gpu
+        --multi_gpu \
+        --custom_mode fp8
 ```
 ## Deployment
 Quark has its own export format and allows FP8 quantized models to be efficiently deployed using the vLLM backend(vLLM-compatible).