diff --git a/qdrant_client/async_qdrant_fastembed.py b/qdrant_client/async_qdrant_fastembed.py
index eb4afb20b..48fbb8879 100644
--- a/qdrant_client/async_qdrant_fastembed.py
+++ b/qdrant_client/async_qdrant_fastembed.py
@@ -135,7 +135,7 @@ def set_sparse_model(
         cache_dir: Optional[str] = None,
         threads: Optional[int] = None,
         providers: Optional[Sequence["OnnxProvider"]] = None,
-        **kwargs,
+        **kwargs: Any,
     ) -> None:
         """
         Set sparse embedding model to use for hybrid search over documents in combination with dense embeddings.
diff --git a/qdrant_client/qdrant_fastembed.py b/qdrant_client/qdrant_fastembed.py
index 7e4a6cdd5..8aae719e5 100644
--- a/qdrant_client/qdrant_fastembed.py
+++ b/qdrant_client/qdrant_fastembed.py
@@ -137,7 +137,7 @@ def set_sparse_model(
         cache_dir: Optional[str] = None,
         threads: Optional[int] = None,
         providers: Optional[Sequence["OnnxProvider"]] = None,
-        **kwargs,
+        **kwargs: Any,
     ) -> None:
         """
         Set sparse embedding model to use for hybrid search over documents in combination with dense embeddings.