diff --git a/examples/main_cli_example.py b/examples/main_cli_example.py
index 262fa94..e89e1ee 100644
--- a/examples/main_cli_example.py
+++ b/examples/main_cli_example.py
@@ -23,7 +23,7 @@ file_extractor: dict[str, BaseReader] = {
     ".xlsx": reader,
 }
 node_parser = DoclingNodeParser(
-    chunker=HybridChunker(tokenizer="Qwen/Qwen3-Embedding-4B", max_tokens=64)
+    chunker=HybridChunker(tokenizer="Qwen/Qwen3-Embedding-4B", max_tokens=128)
 )
 print("Loading documents...")
 documents = SimpleDirectoryReader(
diff --git a/packages/leann-core/src/leann/api.py b/packages/leann-core/src/leann/api.py
index ed6af41..48478bf 100644
--- a/packages/leann-core/src/leann/api.py
+++ b/packages/leann-core/src/leann/api.py
@@ -32,6 +32,7 @@ def _compute_embeddings(chunks: List[str], model_name: str) -> np.ndarray:
     else:
         from sentence_transformers import SentenceTransformer
         model = SentenceTransformer(model_name)
+        model = model.half()
         print(f"INFO: Computing embeddings for {len(chunks)} chunks using SentenceTransformer model '{model_name}'...")
         embeddings = model.encode(chunks, show_progress_bar=True)