diff --git a/vllm_ascend/quantization/quant_config.py b/vllm_ascend/quantization/quant_config.py
index 339e6f00..1490f394 100644
--- a/vllm_ascend/quantization/quant_config.py
+++ b/vllm_ascend/quantization/quant_config.py
@@ -117,6 +117,18 @@ class AscendQuantConfig(QuantizationConfig):
                          prefix: str) -> Optional["QuantizeMethodBase"]:
         vllm_config = get_current_vllm_config()
         model_type = vllm_config.model_config.hf_text_config.model_type
+
+        if model_type in ["minimax", "minimax_m2"]:
+            prefix = prefix.replace("mlp", "block_sparse_moe")
+
+            #To adapt to minimax, modify the prefix of the model layer name
+            parts = prefix.split('.')
+            if "experts" in parts and len(parts) > 2:
+                exp_idx = parts.index("experts")
+                if exp_idx + 1 < len(parts) and parts[exp_idx + 1].isdigit():
+                    parts = parts[:exp_idx + 1]
+                    prefix = ".".join(parts)
+
         if model_type in packed_modules_model_mapping:
             self.packed_modules_mapping = packed_modules_model_mapping[
                 model_type]
@@ -312,6 +324,14 @@ packed_modules_model_mapping = {
         ["experts.0.gate_proj", "experts.0.up_proj", "experts.0.down_proj"],
         "fused_qkv_a_proj": ["q_a_proj", "kv_a_proj_with_mqa"]
     },
+    "minimax_m2": {
+        "qkv_proj": [
+            "q_proj",
+            "k_proj",
+            "v_proj",
+        ],
+        "experts": ["experts.0.w1", "experts.0.w2", "experts.0.w3"]
+    }
 }