revise model params.

src/leaderboard/read_evals.py

@@ -56,6 +56,8 @@ class EvalResult:
         weight_dtype = WeightDtype.from_str(config.get("weight_dtype", "int4"))
         compute_dtype = ComputeDtype.from_str(data["task_info"].get("compute_dtype", "bfloat16"))
         double_quant = data["quantization_config"].get("bnb_4bit_use_double_quant", False)
+        model_params = config["model_params"]
+
         local = config.get("local", False)
         if not local:
             local = data["task_info"].get("local", False)
@@ -105,7 +107,8 @@ class EvalResult:
             weight_dtype=weight_dtype,
             compute_dtype=compute_dtype,
             double_quant=double_quant,
-            revision= config.get("model_sha", "main"),
+            revision=config.get("model_sha", "main"),
+            num_params=model_params,
         )
 
     def update_with_request_file(self, requests_path):
@@ -119,7 +122,7 @@ class EvalResult:
                 request = json.load(f)
             # self.model_type = ModelType.from_str(request.get("model_type", "Unknown"))
             # self.precision = WeightType[request.get("weight_type", "Original")]
-            self.num_params = request.get("model_size", 0) / 2 # need fix
+            # self.num_params = request.get("model_size", 0) / 2 # need fix
             self.date = request.get("submitted_time", "")
             self.architecture = request.get("architectures", "Unknown")
             self.status = request.get("status", "Failed")