Update app.py

app.py

@@ -15,19 +15,41 @@ def format_number(num):
     return str(num)
 
 def fetch_stats():
-    """Fetch all DeepSeek model statistics"""
+    """Fetch all Meta Llama 3 model statistics"""
     api = HfApi()
     
     # Fetch original models
     original_models = [
-        "deepseek-ai/deepseek-r1",
-        "deepseek-ai/deepseek-r1-zero",
-        "deepseek-ai/deepseek-r1-distill-llama-70b",
-        "deepseek-ai/deepseek-r1-distill-qwen-32b",
-        "deepseek-ai/deepseek-r1-distill-qwen-14b",
-        "deepseek-ai/deepseek-r1-distill-llama-8b",
-        "deepseek-ai/deepseek-r1-distill-qwen-7b",
-        "deepseek-ai/deepseek-r1-distill-qwen-1.5b"
+        "meta-llama/Llama-3.3-70B-Instruct",
+        "meta-llama/Meta-Llama-3-70B-Instruct",
+        "meta-llama/Llama-3.1-70B-Instruct",
+        "meta-llama/Llama-3.1-405B-FP8",
+        "meta-llama/Llama-3.2-90B-Vision-Instruct",
+        "meta-llama/Llama-3.2-11B-Vision-Instruct",
+        "meta-llama/Llama-3.2-3B-Instruct-QLORA_INT4_EO8",
+        "meta-llama/Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8",
+        "meta-llama/Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8",
+        "meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8",
+        "meta-llama/Llama-Guard-3-11B-Vision",
+        "meta-llama/Llama-3.2-1B",
+        "meta-llama/Llama-3.2-1B-Instruct",
+        "meta-llama/Llama-3.2-3B",
+        "meta-llama/Llama-3.2-3B-Instruct",
+        "meta-llama/Llama-3.1-8B",
+        "meta-llama/Llama-Guard-3-8B",
+        "meta-llama/Meta-Llama-3-70B",
+        "meta-llama/Meta-Llama-3-8B-Instruct",
+        "meta-llama/Meta-Llama-3-8B",
+        "meta-llama/Llama-3.2-90B-Vision",
+        "meta-llama/Llama-3.2-11B-Vision",
+        "meta-llama/Llama-Guard-3-1B",
+        "meta-llama/Llama-Guard-3-1B-INT4",
+        "meta-llama/Llama-3.1-405B-Instruct-FP8",
+        "meta-llama/Llama-3.1-405B-Instruct",
+        "meta-llama/Llama-3.1-405B",
+        "meta-llama/Llama-3.1-70B",
+        "meta-llama/Llama-3.1-8B-Instruct",
+        "meta-llama/Llama-Guard-3-8B-INT8"
     ]
     
     original_stats = []
@@ -44,14 +66,36 @@ def fetch_stats():
     
     model_types = ["adapter", "finetune", "merge", "quantized"]
     base_models = [
-        "DeepSeek-R1",
-        "DeepSeek-R1-Zero",
-        "DeepSeek-R1-Distill-Llama-70B",
-        "DeepSeek-R1-Distill-Qwen-32B",
-        "DeepSeek-R1-Distill-Qwen-14B",
-        "DeepSeek-R1-Distill-Llama-8B",
-        "DeepSeek-R1-Distill-Qwen-7B",
-        "DeepSeek-R1-Distill-Qwen-1.5B"
+        "meta-llama/Llama-3.3-70B-Instruct",
+        "meta-llama/Meta-Llama-3-70B-Instruct",
+        "meta-llama/Llama-3.1-70B-Instruct",
+        "meta-llama/Llama-3.1-405B-FP8",
+        "meta-llama/Llama-3.2-90B-Vision-Instruct",
+        "meta-llama/Llama-3.2-11B-Vision-Instruct",
+        "meta-llama/Llama-3.2-3B-Instruct-QLORA_INT4_EO8",
+        "meta-llama/Llama-3.2-3B-Instruct-SpinQuant_INT4_EO8",
+        "meta-llama/Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8",
+        "meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8",
+        "meta-llama/Llama-Guard-3-11B-Vision",
+        "meta-llama/Llama-3.2-1B",
+        "meta-llama/Llama-3.2-1B-Instruct",
+        "meta-llama/Llama-3.2-3B",
+        "meta-llama/Llama-3.2-3B-Instruct",
+        "meta-llama/Llama-3.1-8B",
+        "meta-llama/Llama-Guard-3-8B",
+        "meta-llama/Meta-Llama-3-70B",
+        "meta-llama/Meta-Llama-3-8B-Instruct",
+        "meta-llama/Meta-Llama-3-8B",
+        "meta-llama/Llama-3.2-90B-Vision",
+        "meta-llama/Llama-3.2-11B-Vision",
+        "meta-llama/Llama-Guard-3-1B",
+        "meta-llama/Llama-Guard-3-1B-INT4",
+        "meta-llama/Llama-3.1-405B-Instruct-FP8",
+        "meta-llama/Llama-3.1-405B-Instruct",
+        "meta-llama/Llama-3.1-405B",
+        "meta-llama/Llama-3.1-70B",
+        "meta-llama/Llama-3.1-8B-Instruct",
+        "meta-llama/Llama-Guard-3-8B-INT8"
     ]
     
     derivative_stats = []
@@ -60,14 +104,14 @@ def fetch_stats():
         for model_type in model_types:
             try:
                 models = list(api.list_models(
-                    filter=f"base_model:{model_type}:deepseek-ai/{base_model}",
+                    filter=f"base_model:{model_type}:meta-llama/{base_model}",
                     full=True
                 ))
                 
                 # Add each model to our stats
                 for model in models:
                     derivative_stats.append({
-                        'base_model': f"deepseek-ai/{base_model}",
+                        'base_model': f"meta-llama/{base_model}",
                         'model_type': model_type,
                         'model_id': model.id,
                         'downloads_30d': model.downloads if hasattr(model, 'downloads') else 0,
@@ -165,8 +209,8 @@ def create_stats_html():
 def create_interface():
     """Create Gradio interface"""
     with gr.Blocks(theme=gr.themes.Soft()) as interface:
-        gr.HTML("<h1 style='text-align: center;'>DeepSeek-R1 Models Stats</h1>")
-        
+            gr.HTML("<h1 style='text-align: center;'>Meta Llama3 Models Stats</h1>")
+            gr.HTML("<h3 style='text-align: center;'>(Includes models from the 3, 3.1, 3.2, and 3.3 versions)</h3>")        
         with gr.Row():
             with gr.Column():
                 summary_html = gr.HTML()