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Quantize lora linears #15935

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Merged
lucylq merged 1 commit into from
Nov 21, 2025
Merged

Quantize lora linears #15935

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18 changes: 16 additions & 2 deletions examples/models/llama/source_transformation/quantize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -159,13 +159,27 @@ def quantize( # noqa C901
from torchao.utils import unwrap_tensor_subclass

def filter_fn(m, fqn):
# Check if it's a regular nn.Linear
is_linear = isinstance(m, nn.Linear)

# Check if it's a LoRALinear (which has a base weight parameter to quantize)
is_lora_linear = False
try:
from executorch.examples.models.llama.lora import LoRALinear

is_lora_linear = isinstance(m, LoRALinear)
except ImportError:
pass

# Check if the weight shape is compatible with group size
has_shape_compatible_with_group_size = False
if is_linear:
if is_linear or is_lora_linear:
has_shape_compatible_with_group_size = (
m.weight.shape[1] % group_size == 0
)
return is_linear and has_shape_compatible_with_group_size
return (
is_linear or is_lora_linear
) and has_shape_compatible_with_group_size

quantize_(
model,
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