move find_cached.py to src

README.md

@@ -13,6 +13,10 @@ The following OpenAI API endpoints are supported:
 
 Streaming responses is also supported.
 
+**Important!** This project is still relatively new. Please [open a new issue](https://github.com/Jacob-ML/inference-worker/issues/new) if you encounter any problems in order to get help.
+
+**This is a fork of [SvenBrnn's `runpod-worker-ollama`](https://github.com/SvenBrnn/runpod-worker-ollama).**
+
 ## Setup
 
 For the setup to work best, it is recommended to use a network volume attached to all workers which stores the model GGUFs and then reference those files in the launch arguments.

src/find_cached.py

@@ -0,0 +1,59 @@
+"""
+Finds the full LLM GGUF path from the Hugging Face cache.
+"""
+
+import os
+import argparse
+
+CACHE_DIR = "/runpod-volume/huggingface-cache/hub"
+
+
+def find_model_path(model_name, gguf_in_repo="model.gguf"):
+    """
+    Find the path to a cached model.
+
+    Args:
+        model_name: The model name from Hugging Face
+
+    Returns:
+        The full path to the cached model, or None if not found
+    """
+
+    cache_name = model_name.replace("/", "--")
+    snapshots_dir = os.path.join(
+        CACHE_DIR, f"models--{cache_name}", "snapshots"
+    )
+
+    if os.path.exists(snapshots_dir):
+        snapshots = os.listdir(snapshots_dir)
+
+        if snapshots:
+            return os.path.join(snapshots_dir, snapshots[0], gguf_in_repo)
+
+    return None
+
+
+def main():
+    """
+    Main function to find and print the model path.
+    """
+
+    parser = argparse.ArgumentParser(
+        description="Find the full GGUF path from the Hugging Face cache."
+    )
+    parser.add_argument(
+        "model", type=str, help="The model name from Hugging Face"
+    )
+    parser.add_argument(
+        "path",
+        type=str,
+        help="The path to the GGUF file within the model repository",
+    )
+    args = parser.parse_args()
+
+    model_path = find_model_path(args.model, args.path)
+    print(model_path, end="")
+
+
+if __name__ == "__main__":
+    main()