Update src/leaderboard/read_evals.py

src/leaderboard/read_evals.py

@@ -60,8 +60,8 @@ class EvalResult:
         weight_dtype = WeightDtype.from_str(data["task_info"].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"]
-        model_size = config["model_size"]
+        model_params = round(config["model_params"], 2)
+        model_size = round(config["model_size"], 2)
         # group_size = data["quantization_config"].get("group_size", -1)
         if data.get("quantization_config", None):
             double_quant = data["quantization_config"].get("bnb_4bit_use_double_quant", False)
@@ -175,8 +175,8 @@ class EvalResult:
             AutoEvalColumn.average.name: average,
             AutoEvalColumn.license.name: self.license,
             AutoEvalColumn.likes.name: self.likes,
-            AutoEvalColumn.params.name: round(self.num_params, 2),
-            AutoEvalColumn.model_size.name: round(self.model_size, 2),
+            AutoEvalColumn.params.name: self.num_params,
+            AutoEvalColumn.model_size.name: self.model_size,
             AutoEvalColumn.group_size.name: self.group_size,
             AutoEvalColumn.still_on_hub.name: self.still_on_hub,
             AutoEvalColumn.merged.name: "merge" in self.tags if self.tags else False,