new size intervals and apply same intervals for the collection

src/display/utils.py

@@ -239,13 +239,13 @@ BENCHMARK_COLS = [t.value.col_name for t in Tasks]
 
 NUMERIC_INTERVALS = {
     "?": pd.Interval(-1, 0, closed="right"),
-    "~1.5": pd.Interval(0, 2, closed="right"),
-    "~3": pd.Interval(2, 4, closed="right"),
-    "~7": pd.Interval(4, 9, closed="right"),
-    "~13": pd.Interval(9, 20, closed="right"),
-    "~35": pd.Interval(20, 45, closed="right"),
-    "~60": pd.Interval(45, 70, closed="right"),
-    "70+": pd.Interval(70, 10000, closed="right"),
+    "~1B": pd.Interval(0, 2, closed="right"),
+    "~3B": pd.Interval(2, 4, closed="right"),
+    "~7B": pd.Interval(4, 9, closed="right"),
+    "~13B": pd.Interval(9, 23, closed="right"),
+    "~35B": pd.Interval(23, 50, closed="right"),
+    "~70B": pd.Interval(50, 85, closed="right"),
+    "85B+": pd.Interval(85, 10000, closed="right"),
 }
 
 #Original HF LEaderboard tasks and metrics

src/tools/collections.py

@@ -5,10 +5,11 @@ from huggingface_hub import add_collection_item, delete_collection_item, get_col
 from huggingface_hub.utils._errors import HfHubHTTPError
 from pandas import DataFrame
 
-from src.display.utils import AutoEvalColumn, ModelType
+from src.display.utils import AutoEvalColumn, ModelType, NUMERIC_INTERVALS
 from src.envs import H4_TOKEN, PATH_TO_COLLECTION
 
 # Specific intervals for the collections
+"""
 intervals = {
     "1B": pd.Interval(0, 1.5, closed="right"),
     "3B": pd.Interval(2.5, 3.5, closed="neither"),
@@ -17,7 +18,8 @@ intervals = {
     "30B": pd.Interval(25, 35, closed="neither"),
     "65B": pd.Interval(60, 70, closed="neither"),
 }
-
+"""
+intervals = {k:v for k,v in NUMERIC_INTERVALS.items() if "?" not in k}
 
 def update_collections(df: DataFrame):
     """This function updates the Open LLM Leaderboard model collection with the latest best models for