diff --git a/flax/serialization.py b/flax/serialization.py
index bd6d0853cc..8894fe66cd 100644
--- a/flax/serialization.py
+++ b/flax/serialization.py
@@ -259,10 +259,30 @@ def _ndarray_to_bytes(arr) -> bytes:
   return msgpack.packb(tpl, use_bin_type=True)
 
 
-def _dtype_from_name(name: str):
-  """Handle JAX bfloat16 dtype correctly."""
+def _dtype_from_name(name: bytes):
+  """Handle JAX bfloat16 and other numpy fixed-width dtypes correctly."""
+
+  def _parse_bit_len(name: bytes, dtype_name: bytes):
+    return int(name.replace(dtype_name, b''))
+
   if name == b'bfloat16':
     return jax.numpy.bfloat16
+  elif name.startswith(b'str'):
+    string_dtype = np.asarray('x').dtype
+    # Typically '<U' indicating a little endian unicode. Get it programatically
+    # in case of big-endian architecture.
+    # See https://numpy.org/doc/2.1/reference/arrays.interface.html#python-side.
+    string_dtype_signature = str(string_dtype)[:2]
+    # numpy stores unicode strings in UCS4 encoding with 4 bytes per character.
+    ucs4_bits_per_character = _parse_bit_len(string_dtype.name.encode(), b'str')
+    len_in_bits = _parse_bit_len(name, b'str')
+    return np.dtype(
+        f'{string_dtype_signature}{len_in_bits//ucs4_bits_per_character}'
+    )
+  elif name.startswith(b'bytes'):
+    len_in_bits = _parse_bit_len(name, b'bytes')
+    # |S indicates no-order specific flag for zero-terminated bytes.
+    return np.dtype(f'|S{len_in_bits//8}')
   else:
     return np.dtype(name)