vladkens
diff --git a/‎llama_cpp/llama_cpp.py
Copy file name to clipboardExpand all lines: llama_cpp/llama_cpp.py
+17-12Lines changed: 17 additions & 12 deletions b/‎llama_cpp/llama_cpp.py
Copy file name to clipboardExpand all lines: llama_cpp/llama_cpp.py
+17-12Lines changed: 17 additions & 12 deletions
@@ -15,29 +15,33 @@
     c_size_t,
 )
 import pathlib
+from typing import List
 
 
 # Load the library
 def _load_shared_library(lib_base_name: str):
+    # Construct the paths to the possible shared library names
+    _base_path = pathlib.Path(__file__).parent.resolve()
+    # Searching for the library in the current directory under the name "libllama" (default name
+    # for llamacpp) and "llama" (default name for this repo)
+    _lib_paths: List[pathlib.Path] = []
     # Determine the file extension based on the platform
     if sys.platform.startswith("linux"):
-        lib_ext = ".so"
+        _lib_paths += [
+            _base_path / f"lib{lib_base_name}.so",
+        ]
     elif sys.platform == "darwin":
-        lib_ext = ".so"
+        _lib_paths += [
+            _base_path / f"lib{lib_base_name}.so",
+            _base_path / f"lib{lib_base_name}.dylib",
+        ]
     elif sys.platform == "win32":
-        lib_ext = ".dll"
+        _lib_paths += [
+            _base_path / f"{lib_base_name}.dll",
+        ]
     else:
         raise RuntimeError("Unsupported platform")
 
-    # Construct the paths to the possible shared library names
-    _base_path = pathlib.Path(__file__).parent.resolve()
-    # Searching for the library in the current directory under the name "libllama" (default name
-    # for llamacpp) and "llama" (default name for this repo)
-    _lib_paths = [
-        _base_path / f"lib{lib_base_name}{lib_ext}",
-        _base_path / f"{lib_base_name}{lib_ext}",
-    ]
-
     if "LLAMA_CPP_LIB" in os.environ:
         lib_base_name = os.environ["LLAMA_CPP_LIB"]
         _lib = pathlib.Path(lib_base_name)
@@ -160,6 +164,7 @@ class llama_token_data_array(Structure):
 #     bool use_mlock;  // force system to keep model in RAM
 #     bool embedding;  // embedding mode only
 
+
 #     // called with a progress value between 0 and 1, pass NULL to disable
 #     llama_progress_callback progress_callback;
 #     // context pointer passed to the progress callback