nit

characterization/characterization.py

 import pandas as pd
 import seaborn as sns
 import matplotlib.pyplot as plt
+import matplotlib
 
 
+matplotlib.rcParams['pdf.fonttype'] = 42
+
 df = pd.read_csv('token_lengths_all.csv')
 print(df.head())
 
@@ -18,11 +21,10 @@ df = df[(df['output_token_length'] < 2048)]
 df = df.replace('stablelm-tuned-alpha-7b', 'stablelm-alpha-7b')
 
 fig, ax = plt.subplots(figsize=(6.4, 3.6))
-sns.boxplot(data=df, x="model", y="output_token_length", fliersize=3, showfliers=False, whis=1.5)
+sns.boxplot(data=df, x="model", y="output_token_length", fliersize=3, showfliers=False, whis=1.5, palette="Spectral")
 plt.xticks(rotation=90)
 plt.xlabel('')
 plt.ylabel('Output Token Length')
-# sns.color_palette("Spectral", as_cmap=True)
 plt.grid(True, axis='y', zorder=-1, linestyle='dashed', color='gray', alpha=0.5)
 plt.tight_layout()
 # plt.show()