Forbid extra argument for modifiers (#1614)

SUMMARY:
Fixes [issue
1226](#1226) and
[issue 1225](#1225)


TEST PLAN:
Tested locally, example error message:

```
pydantic_core._pydantic_core.ValidationError: 1 validation error for GPTQModifier
group_0
  Extra inputs are not permitted [type=extra_forbidden, input_value={'weights': {'num_bits': ... 'targets': ['Linear']}}, input_type=dict]
    For further information visit https://errors.pydantic.dev/2.11/v/extra_forbidden
```

---------

Signed-off-by: shanjiaz <zsjwpianpian@gmail.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>

Author: shanjiaz

examples/finetuning/example_alternating_recipe.yaml

@@ -4,7 +4,7 @@ initial_sparsity_stage:
     SparseGPTModifier:
       sparsity: 0.5
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "0:0"
       targets: ["Linear"]
       ignore: ["re:.*lm_head"]
@@ -20,7 +20,7 @@ next_sparsity_stage:
     SparseGPTModifier:
       sparsity: 0.7
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "0:0"
       targets: ["Linear"]
       ignore: ["re:.*lm_head"]

src/llmcompressor/modifiers/modifier.py

@@ -1,6 +1,8 @@
 from abc import abstractmethod
 from typing import Optional
 
+from pydantic import ConfigDict
+
 from llmcompressor.core.events import Event, EventType
 from llmcompressor.core.state import State
 from llmcompressor.modifiers.interface import ModifierInterface
@@ -30,6 +32,8 @@ class Modifier(ModifierInterface, HooksMixin):
     :param update: The update step for the modifier
     """
 
+    model_config = ConfigDict(extra="forbid")
+
     index: Optional[int] = None
     group: Optional[str] = None
     start: Optional[float] = None

tests/llmcompressor/pytorch/modifiers/pruning/constant/test_pytorch.py

@@ -145,8 +145,8 @@ def test_constant_pruning_pytorch_is_registered():
     from llmcompressor.modifiers.pruning.constant import ConstantPruningModifier
 
     kwargs = dict(
-        start_epoch=5.0,
-        end_epoch=15.0,
+        start=5.0,
+        end=15.0,
         targets="__ALL_PRUNABLE__",
     )
     setup_modifier_factory()

tests/llmcompressor/transformers/finetune/test_alternate_recipe.yaml

@@ -3,7 +3,7 @@ test_oneshot_stage:
     SparseGPTModifier:
       sparsity: 0.7
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "0:0"
       targets: ["Linear"]
       ignore: ["re:.*lm_head"]

tests/llmcompressor/transformers/obcq/recipes/additional_sparsity.yaml

@@ -3,7 +3,7 @@ test_stage:
     SparseGPTModifier:
       sparsity: 0.7
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "0:0"
       targets: ["re:.*model.layers.0$"]
       preserve_sparsity_mask: True

tests/llmcompressor/transformers/obcq/recipes/additional_sparsity_with_quant.yaml

@@ -3,7 +3,7 @@ test_stage:
     SparseGPTModifier:
       sparsity: 0.7
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "0:0"
       targets: [
         "re:.*model.layers.0$",

tests/llmcompressor/transformers/obcq/recipes/quant.yaml

@@ -4,7 +4,7 @@ test_stage:
       smoothing_strength: 0.6
     GPTQModifier:
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       config_groups:
         group_0:
           weights:

tests/llmcompressor/transformers/obcq/recipes/quant_and_sparse.yaml

@@ -12,6 +12,6 @@ test_stage:
     SparseGPTModifier:
       sparsity: 0.5
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "0:0"
       targets: ["re:.*model.layers.0$"]

tests/llmcompressor/transformers/obcq/recipes/sparse.yaml

@@ -3,6 +3,6 @@ test_stage:
     SparseGPTModifier:
       sparsity: 0.3
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       targets: ["model.layers.0", "model.layers.1"]
       mask_structure: "0:0"

tests/llmcompressor/transformers/obcq/recipes/sparse_with_mask_structure.yaml

@@ -3,7 +3,7 @@ test_stage:
     SparseGPTModifier:
       sparsity: 0.5
       block_size: 128
-      percdamp: 0.01
+      dampening_frac: 0.01
       mask_structure: "2:4"
       targets: [
         "re:.*model.layers.0$",