Upload folder using huggingface_hub

rewrite_yamls.py

@@ -0,0 +1,41 @@
+import os
+import glob
+
+# The valid template for our models
+template = """name: {name}
+label: {label}
+status: active
+input_types:
+  - text/plain
+output_types:
+  - text/plain
+context_size: {context_size}
+output_size: 4096
+"""
+
+# define context sizes we researched
+model_info = {
+    "llama3-70b.yaml": ("llama3-70b", "Llama 3 70B", 8192),
+    "claude-3-haiku.yaml": ("anthropic/claude-3-haiku", "Claude 3 Haiku", 200000),
+    "meta-llama3-70b-instruct.yaml": ("meta/llama3-70b-instruct", "Llama 3 70B Instruct", 8192),
+    "minimaxai-minimax-m3.yaml": ("minimaxai/minimax-m3", "Minimax M3", 1000000),
+    "deepseek-ai-deepseek-v4-flash.yaml": ("deepseek-ai/deepseek-v4-flash", "DeepSeek v4 Flash", 1000000),
+    "deepseek-ai-deepseek-v4-pro.yaml": ("deepseek-ai/deepseek-v4-pro", "DeepSeek v4 Pro", 1000000),
+    "minimaxai-minimax-m2.7.yaml": ("minimaxai/minimax-m2.7", "Minimax M2.7", 204800),
+    "nvidia-nemotron-3-ultra-550b-a55b.yaml": ("nvidia/nemotron-3-ultra-550b-a55b", "Nemotron-3 Ultra 550B", 1000000),
+    "stepfun-ai-step-3.7-flash.yaml": ("stepfun-ai/step-3.7-flash", "Step-3.7 Flash", 256000),
+    "qwen-qwen3.5-397b-a17b.yaml": ("qwen/qwen3.5-397b-a17b", "Qwen 3.5 397B", 262144),
+}
+
+base_path = "c:/Users/LOQ/OneDrive/Desktop/agentscope/src/agentscope/model/"
+
+for folder in ["_groq", "_openrouter", "_nvidia_nim"]:
+    folder_path = os.path.join(base_path, folder, "_models")
+    if os.path.exists(folder_path):
+        for file in os.listdir(folder_path):
+            if file in model_info:
+                name, label, context = model_info[file]
+                content = template.format(name=name, label=label, context_size=context)
+                with open(os.path.join(folder_path, file), "w", encoding="utf-8") as f:
+                    f.write(content)
+                print(f"Updated {file}")