corrected finetuned mentions

app.py

@@ -328,7 +328,7 @@ with demo:
                     )
                     filter_columns = gr.Radio(
                         label="⏚ Filter model types",
-                        choices = ["all", "🟢 base", "🔶 instruction-tuned", "🟦 RL-tuned"],
+                        choices = ["all", "🟢 base", "🔶 finetuned", "🟦 RL-tuned"],
                         value="all",
                         elem_id="filter-columns"
                     )
@@ -404,7 +404,7 @@ with demo:
                         False, label="Private", visible=not IS_PUBLIC
                     )
                     model_type = gr.Dropdown(
-                        choices=["pretrained", "fine-tuned", "with RL"], 
+                        choices=["pretrained", "finetuned", "with RL"], 
                         label="Model type", 
                         multiselect=False,
                         value=None,

src/assets/text_content.py

@@ -63,7 +63,7 @@ INTRODUCTION_TEXT = f"""
 
 Other cool benchmarks for LLMs are developed at HuggingFace, go check them out: 🙋🤖 [human and GPT4 evals](https://huggingface.co/spaces/HuggingFaceH4/human_eval_llm_leaderboard), 🖥️ [performance benchmarks](https://huggingface.co/spaces/optimum/llm-perf-leaderboard)
 
-🟢: Base pretrained model – 🔶: Instruction finetuned model – 🟦: Model finetuned with RL  (read more details in "About" tab)
+🟢: Base pretrained model – 🔶: Finetuned model – 🟦: Model using RL  (read more details in "About" tab)
 """
 
 LLM_BENCHMARKS_TEXT = f"""