remove nan scores

app.py

@@ -63,6 +63,7 @@ def get_benchmark_df(benchmark="1xA100-80GB"):
     bench_df = pd.read_csv(f"./llm-perf-dataset/reports/{benchmark}.csv")
     scores_df = pd.read_csv(f"./llm-perf-dataset/reports/open-llm-leaderboard.csv")
     bench_df = bench_df.merge(scores_df, on="model", how="left")
+    bench_df = bench_df[bench_df["score"].notna()]
 
     bench_df["optimizations"] = bench_df[
         ["backend.bettertransformer", "backend.load_in_8bit", "backend.load_in_4bit"]