diff --git a/python/src/linalg.cpp b/python/src/linalg.cpp
index b389ac15f..c2728c738 100644
--- a/python/src/linalg.cpp
+++ b/python/src/linalg.cpp
@@ -27,62 +27,125 @@ void init_linalg(py::module_& parent_module) {
       parent_module.def_submodule("linalg", "mlx.core.linalg: Linear Algebra.");
 
   m.def(
-      "vector_norm",
-      [](const array& a,
-         const std::variant<double, std::string>& ord,
-         const std::variant<std::monostate, int, std::vector<int>>& axis,
-         bool keepdims,
-         StreamOrDevice s) {
-        std::vector<int> axes = std::visit(
-            overloaded{
-                [](std::monostate s) { return std::vector<int>(); },
-                [](int axis) { return std::vector<int>({axis}); },
-                [](const std::vector<int> axes) { return axes; }},
-            axis);
-
-        if (axes.empty())
-          return vector_norm(a, ord, keepdims, s);
-        else
-          return vector_norm(a, ord, axes, keepdims, s);
+      "norm",
+      [](const array& a, const bool keepdims, const StreamOrDevice stream) {
+        return norm(a, {}, keepdims, stream);
       },
       "a"_a,
-      "ord"_a = 2.0,
-      "axis"_a = none,
       "keepdims"_a = false,
       "stream"_a = none,
-      R"pbdoc(
-          Computes a vector norm.
+      R"pbdoc()pbdoc");
 
-          - If :attr:`axis`\ `= None`, :attr:`a` will be flattened before the norm is computed.
-          - If :attr:`axis` is an `int` or a `tuple`, the norm will be computed over these dimensions
-            and the other dimensions will be treated as batch dimensions.
-
-
-          :attr:`ord` defines the vector norm that is computed. The following norms are supported:
-
-          ======================   ===============================
-          :attr:`ord`              vector norm
-          ======================   ===============================
-          `2` (default)            `2`-norm (see below)
-          `inf`                    `max(abs(x))`
-          `-inf`                   `min(abs(x))`
-          `0`                      `sum(x != 0)`
-          other `int` or `float`   `sum(abs(x)^{ord})^{(1 / ord)}`
-          ======================   ===============================
-
-          where `inf` refers to `float('inf')`, NumPy's `inf` object, or any equivalent object.
-
-          Args:
-              a (Tensor): tensor, flattened by default, but this behavior can be
-                  controlled using :attr:`dim`.
-              ord (int, float, inf, -inf, 'fro', 'nuc', optional): order of norm. Default: `2`
-              axis (int, Tuple[int], optional): dimensions over which to compute
-                  the norm. See above for the behavior when :attr:`dim`\ `= None`.
-                  Default: `None`
-              keepdims (bool, optional): If set to `True`, the reduced dimensions are retained
-                  in the result as dimensions with size one. Default: `False`
-
-          Returns:
-              A real-valued tensor, even when :attr:`a` is complex.
-        )pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const int axis,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, {axis}, keepdims, stream);
+      },
+      "a"_a,
+      "axis"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const std::vector<int>& axis,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, axis, keepdims, stream);
+      },
+      "a"_a,
+      "axis"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const double ord,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, ord, {}, keepdims, stream);
+      },
+      "a"_a,
+      "ord"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const double ord,
+         const int axis,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, ord, {axis}, keepdims, stream);
+      },
+      "a"_a,
+      "ord"_a,
+      "axis"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const double ord,
+         const std::vector<int>& axis,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, ord, axis, keepdims, stream);
+      },
+      "a"_a,
+      "ord"_a,
+      "axis"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const std::string& ord,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, ord, {}, keepdims, stream);
+      },
+      "a"_a,
+      "ord"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const std::string& ord,
+         const int axis,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, ord, {axis}, keepdims, stream);
+      },
+      "a"_a,
+      "ord"_a,
+      "axis"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
+  m.def(
+      "norm",
+      [](const array& a,
+         const std::string& ord,
+         const std::vector<int>& axis,
+         const bool keepdims,
+         const StreamOrDevice stream) {
+        return norm(a, ord, axis, keepdims, stream);
+      },
+      "a"_a,
+      "ord"_a,
+      "axis"_a,
+      "keepdims"_a = false,
+      "stream"_a = none,
+      R"pbdoc()pbdoc");
 }