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Export lora weights to sep file #15061

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Merged
merged 1 commit into from
Oct 13, 2025
Merged

Export lora weights to sep file #15061

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17 changes: 12 additions & 5 deletions examples/models/llama/export_llama_lib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1089,11 +1089,18 @@ def _export_llama(llm_config: LlmConfig) -> LLMEdgeManager: # noqa: C901

if llm_config.backend.xnnpack.enabled:
if llm_config.export.foundation_weights_file is not None:
gen_tag_fn: Callable[[torch.fx.Node], Optional[str]] = lambda x: (
llm_config.export.foundation_weights_file
if "lora" not in x.name
else None
)
if llm_config.export.lora_weights_file is not None:
gen_tag_fn: Callable[[torch.fx.Node], Optional[str]] = lambda x: (
llm_config.export.foundation_weights_file
if "lora" not in x.name
else None
)
else:
gen_tag_fn: Callable[[torch.fx.Node], Optional[str]] = lambda x: (
llm_config.export.foundation_weights_file
if "lora" not in x.name
else llm_config.export.lora_weights_file
)

from executorch.exir.passes.external_constants_pass import (
delegate_external_constants_pass_unlifted,
Expand Down
10 changes: 7 additions & 3 deletions extension/llm/export/config/llm_config.py
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Expand Up @@ -215,9 +215,10 @@ class ExportConfig:
so_library: Shared library to specify custom quantized operators.
export_only: Whether to stop right after torch.export() and
just save the exported .pt2 graph file.
foundation_weights_file: configure the foundation weights of a model
to be placed in a separate file, external to the PTE. Pass the
intended file name here.
foundation_weights_file: place the foundation weights of the model into
a separate file, external to the PTE. Pass the file name here.
lora_weights_file: place the lora weights of the model into a
separate file, external to the PTE. Pass the file name here.
"""

max_seq_length: int = 128
Expand All @@ -227,6 +228,7 @@ class ExportConfig:
so_library: Optional[str] = None
export_only: bool = False
foundation_weights_file: Optional[str] = None
lora_weights_file: Optional[str] = None

def __post_init__(self):
if self.max_context_length < self.max_seq_length:
Expand Down Expand Up @@ -572,6 +574,8 @@ def from_args(cls, args: argparse.Namespace) -> "LlmConfig": # noqa: C901
llm_config.export.export_only = args.export_only
if hasattr(args, "foundation_weights_file"):
llm_config.export.foundation_weights_file = args.foundation_weights_file
if hasattr(args, "lora_weights_file"):
llm_config.export.lora_weights_file = args.lora_weights_file

# QuantizationConfig
if hasattr(args, "quantization_mode"):
Expand Down
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