fix: filtering support for models missing details

app.py

@@ -125,6 +125,7 @@ def filter_models(
 
     numeric_interval = pd.IntervalIndex(sorted([NUMERIC_INTERVALS[s] for s in size_query]))
     params_column = pd.to_numeric(df[AutoEvalColumn.params.name], errors="coerce")
+    params_column = params_column.fillna(0)
     mask = params_column.apply(lambda x: any(numeric_interval.contains(x)))
     filtered_df = filtered_df.loc[mask]
 

src/leaderboard/read_evals.py

@@ -148,7 +148,7 @@ def get_request_file_for_model(requests_path, model_name, precision):
             req_content = json.load(f)
             if (
                 req_content["status"] in ["FINISHED"]
-                and req_content["precision"] == precision.split(".")[-1]
+                and req_content["precision"] == precision.split(".")[-1] or req_content["precision"] is None
             ):
                 request_file = tmp_request_file
     return request_file