diff --git a/python/shark_turbine/transforms/general/rename_parameters.py b/python/shark_turbine/transforms/general/rename_parameters.py
new file mode 100644
index 000000000..86d5c0f04
--- /dev/null
+++ b/python/shark_turbine/transforms/general/rename_parameters.py
@@ -0,0 +1,150 @@
+# Copyright 2023 Nod Labs, Inc
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+
+"""This pass will rename any #stream.parameter.named<> attributes on globals.
+
+It can either be used as-is or by sub-classing (i.e. in a model specific
+subclass that renames from A->B, etc).
+
+By default, no attributes are touched unless:
+
+* rename_map= has an exact match
+* rename_callback= returns a change
+"""
+
+from typing import Callable, Dict, List, Optional, Tuple, Union
+
+import re
+
+from iree.compiler.ir import (
+    Attribute,
+    Operation,
+    StringAttr,
+)
+
+from ..rewriter import *
+from iree.compiler.ir import Context
+
+ScopedName = Tuple[Optional[str], str]
+MaybeScopedName = Union[str, ScopedName]
+
+
+class RenameParametersPass(Pass):
+    def __init__(
+        self,
+        root_op: Operation,
+        *,
+        rename_map: Optional[Dict[MaybeScopedName, MaybeScopedName]] = None,
+        rename_callback: Callable[[Optional[str], str], Optional[ScopedName]] = lambda scope, name: None
+    ):
+        super().__init__(root_op)
+        self.context = root_op.context
+        self.rename_map = rename_map
+        self.rename_callback = rename_callback
+        with self.context:
+            # Make a prototype named parameter attribute so we can get its
+            # typeid.
+            self.parameter_attr_typeid = Attribute.parse(
+                '#stream.parameter.named<""::"">'
+            ).typeid
+
+    def run(self):
+        globals = self.globals
+        for _, global_op in self.globals.items():
+            attrs = global_op.op.attributes
+            try:
+                initial_value = attrs["initial_value"]
+            except KeyError:
+                continue
+
+            if initial_value.typeid == self.parameter_attr_typeid:
+                updated_value = self.remap(initial_value)
+                if updated_value != initial_value:
+                    attrs["initial_value"] = updated_value
+
+    def remap(self, parameter_attr: Attribute) -> Attribute:
+        comps = _parse_parameter_attr(parameter_attr)
+        if not comps:
+            return parameter_attr
+        if len(comps) == 1:
+            orig_scope = None
+            name = comps[0]
+        else:
+            orig_scope, name = comps
+
+        def norm_map_result(result: MaybeScopedName) -> ScopedName:
+            if isinstance(result, str):
+                return orig_scope, result
+            if len(result) == 1:
+                return orig_scope, result[0]
+            else:
+                return result[0], result[1]
+        
+        def make_attr(scoped_name: ScopedName) -> Attribute:
+            if scoped_name[0] is None:
+                name = StringAttr.get(scoped_name[1])
+                return Attribute.parse(f"#stream.parameter.named<{name}> : {parameter_attr.type}")
+            else:
+                scope = StringAttr.get(scoped_name[0])
+                name = StringAttr.get(scoped_name[1])
+                return Attribute.parse(f"#stream.parameter.named<{scope}::{name}> : {parameter_attr.type}")
+        
+        # Check the rename map.
+        # Check with a fully-qualified name.
+        result = self.rename_map.get((orig_scope, name))
+        if result is not None:
+            return make_attr(norm_map_result(result))
+        # Check with just the 
+        result = self.rename_map.get(name)
+        if result is not None:
+            return make_attr(norm_map_result(result))
+
+        # Check the callback.
+        result = self.rename_callback(orig_scope, name)
+        if result is not None:
+            return make_attr(result)
+
+        return parameter_attr
+
+
+def _parse_parameter_attr(attr: Attribute) -> Optional[List[str]]:
+    # Returns one of:
+    #  None if failed to parse of not a simple named parameter without attributes.
+    #  [name] for names with a default scope
+    #  [scope, name] for scoped names
+    # TODO: Burn this with fire. We should add Python bindings for these attributes
+    # vs string parsing them.
+    # TODO: The parameter attribute correctly parses C escapes but prints unescaped :(
+    asm = str(attr)
+    PREFIX = "#stream.parameter.named<"
+    STR_PATTERN = re.compile(r'"(.*?)(?!\\)"')
+    if asm.startswith(PREFIX):
+        asm = asm[len(PREFIX) :]
+    results = []
+    # Parse a str
+    m = STR_PATTERN.search(asm)
+    if not m or m.start() != 0:
+        return None
+    results.append(m.group(1))
+    asm = asm[m.end() :]
+    # Parse ::
+    if asm.startswith("::"):
+        asm = asm[2:]
+    else:
+        return results
+    # Parse a str
+    m = STR_PATTERN.search(asm)
+    if not m or m.start() != 0:
+        return None
+    results.append(m.group(1))
+    asm = asm[m.end() :]
+    if not asm.startswith(">"):
+        return None
+    return results
+
+
+if __name__ == "__main__":
+    pass_main(RenameParametersPass)
diff --git a/tests/transforms/general/rename_parameters_test.py b/tests/transforms/general/rename_parameters_test.py
new file mode 100644
index 000000000..203e6b455
--- /dev/null
+++ b/tests/transforms/general/rename_parameters_test.py
@@ -0,0 +1,63 @@
+# Copyright 2023 Nod Labs, Inc
+# Portions Copyright 2022 The IREE Authors
+#
+# Licensed under the Apache License v2.0 with LLVM Exceptions.
+# See https://llvm.org/LICENSE.txt for license information.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+
+from pathlib import Path
+import logging
+import unittest
+
+from iree.compiler.ir import (
+    Context,
+    Operation,
+)
+
+from shark_turbine.transforms import rewriter
+from shark_turbine.transforms.general import rename_parameters
+
+SIMPLE_GLOBALS_ASM = r"""
+module {
+    util.global private @_params.classifier.default {noinline} = #stream.parameter.named<"default"> : tensor<30xf32>
+    util.global private @_params.classifier.weight {noinline} = #stream.parameter.named<"foo"::"WEIGHT"> : tensor<30x20xf32>
+    util.global private @_params.classifier.bias {noinline} = #stream.parameter.named<"foo"::"params.classifier.bias"> : tensor<30xf32>
+    util.global private @_params.classifier.other {noinline} = dense<0.0> : tensor<30xf32>
+    util.global private @_uninitialized {noinline} : tensor<30xf32>
+}
+"""
+
+
+class RenameTest(unittest.TestCase):
+    def testBasic(self):
+        with Context() as context:
+            module_op = Operation.parse(SIMPLE_GLOBALS_ASM)
+            rename_parameters.RenameParametersPass(
+                module_op,
+                rename_map={
+                    "WEIGHT": "weight",
+                    ("foo", "params.classifier.bias"): ("bar", "BIAS"),
+                },
+                rename_callback=lambda scope, name: ("XXX", "YYY")
+                if name == "default"
+                else None,
+            ).run()
+            module_asm = str(module_op)
+            print(module_asm)
+            self.assertIn(
+                '@_params.classifier.default {noinline} = #stream.parameter.named<"XXX"::"YYY"> : tensor<30xf32>',
+                module_asm,
+            )
+            self.assertIn(
+                '@_params.classifier.weight {noinline} = #stream.parameter.named<"foo"::"weight"> : tensor<30x20xf32>',
+                module_asm,
+            )
+            self.assertIn(
+                '@_params.classifier.bias {noinline} = #stream.parameter.named<"bar"::"BIAS"> : tensor<30xf32>',
+                module_asm,
+            )
+
+
+if __name__ == "__main__":
+    logging.basicConfig(level=logging.DEBUG)
+    unittest.main()