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Add buck target for hf_download #9603

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Mar 26, 2025
Merged

Add buck target for hf_download #9603

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11 changes: 11 additions & 0 deletions examples/models/llama/TARGETS
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Original file line number Diff line number Diff line change
Expand Up @@ -118,6 +118,16 @@ runtime.python_library(
],
)

runtime.python_library(
name = "hf_download",
srcs = [
"hf_download.py",
],
deps = [
"fbsource//third-party/pypi/huggingface-hub:huggingface-hub",
]
)

runtime.python_library(
name = "export_library",
srcs = [
Expand All @@ -134,6 +144,7 @@ runtime.python_library(
"@EXECUTORCH_CLIENTS",
],
deps = [
":hf_download",
":source_transformation",
"//ai_codesign/gen_ai/fast_hadamard_transform:fast_hadamard_transform",
"//caffe2:torch",
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12 changes: 9 additions & 3 deletions examples/models/llama/export_llama_lib.py
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Expand Up @@ -539,11 +539,17 @@ def export_llama(args) -> str:
if not args.checkpoint and args.model in HUGGING_FACE_REPO_IDS:
repo_id = HUGGING_FACE_REPO_IDS[args.model]
if args.model == "qwen2_5":
from executorch.examples.models.qwen2_5 import convert_weights
from executorch.examples.models.qwen2_5 import ( # pyre-ignore[21]
convert_weights,
)
elif args.model == "phi_4_mini":
from executorch.examples.models.phi_4_mini import convert_weights
from executorch.examples.models.phi_4_mini import ( # pyre-ignore[21]
convert_weights,
)
elif args.model == "smollm2":
from executorch.examples.models.smollm2 import convert_weights
from executorch.examples.models.smollm2 import ( # pyre-ignore[21]
convert_weights,
)
else:
raise ValueError(
f"Converting weights to meta format for {args.model} is not yet supported"
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8 changes: 4 additions & 4 deletions examples/models/llama/hf_download.py
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Expand Up @@ -36,8 +36,8 @@ def download_and_convert_hf_checkpoint(
converted_path = cache_dir / f"{model_name}.pth"

if converted_path.exists():
print(f"✔ Using cached converted model: {converted_path}")
return converted_path
print(f"✔ Using cached converted model: {str(converted_path)}")
return str(converted_path)

# 1. Download weights from Hugging Face.
print("⬇ Downloading and converting checkpoint...")
Expand All @@ -46,5 +46,5 @@ def download_and_convert_hf_checkpoint(
)

# 2. Convert weights to Meta format.
convert_weights(checkpoint_path, converted_path)
return converted_path
convert_weights(checkpoint_path, str(converted_path))
return str(converted_path)
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