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config.json

@@ -23,9 +23,6 @@
   "num_blocks": 29,
   "num_hidden_layers": 29,
   "num_key_value_heads": 7,
-  "quantization_config": {
-    "quant_method": "quartet2"
-  },
   "quartet_2_impl": "pseudoquant",
   "ratio": 4,
   "scale_type": "1/sqrt(d)",

configuration_cloverlm.py

@@ -23,7 +23,6 @@ class CloverLMConfig(PretrainedConfig):
         num_attention_heads=None,
         num_key_value_heads=None,
         head_dim=None,
-        quantization_config=None,
         **kwargs,
     ):
         self.num_blocks = num_blocks
@@ -56,11 +55,6 @@ class CloverLMConfig(PretrainedConfig):
             else heads // ratio
         )
         self.head_dim = head_dim if head_dim is not None else d_head
-        self.quantization_config = (
-            quantization_config
-            if quantization_config is not None
-            else {"quant_method": "quartet2"}
-        )
 
         kwargs.pop("tie_word_embeddings", None)
         super().__init__(