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chore: import upstream snapshot with attribution
2026-07-13 13:23:58 +08:00

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Python

"""
This file specifies how MLC's GPT-2 parameter maps from other formats, for example HuggingFace
PyTorch, HuggingFace safetensors.
"""
import functools
from mlc_llm.loader import ExternMapping
from mlc_llm.quantization import Quantization
from .gpt2_model import GPT2Config, GPT2LMHeadModel
def huggingface(model_config: GPT2Config, quantization: Quantization) -> ExternMapping:
"""Returns a parameter mapping that maps from the names of MLC LLM parameters to
the names of HuggingFace PyTorch parameters.
Parameters
----------
model_config : GPT2Config
The configuration of the GPT-2 model.
quantization : Quantization
The quantization configuration.
Returns
-------
param_map : ExternMapping
The parameter mapping from MLC to HuggingFace PyTorch.
"""
model = GPT2LMHeadModel(model_config)
if quantization is not None:
model.to(quantization.model_dtype)
_, _named_params, _ = model.export_tvm(
spec=model.get_default_spec(),
allow_extern=True,
)
named_parameters = dict(_named_params)
mapping = ExternMapping()
mapping.add_mapping(
"lm_head.weight",
["wte.weight"],
functools.partial(
lambda x, dtype: x.astype(dtype),
dtype=named_parameters["transformer.wte.weight"].dtype,
),
)
for i in range(model_config.n_layer):
mapping.add_unused(f"h.{i}.attn.bias")
# Transpose c_attn, c_proj and c_fc weights since GPT-2 uses Conv1D
for conv1d_weight_name in [
"attn.c_attn",
"attn.c_proj",
"mlp.c_proj",
"mlp.c_fc",
]:
src_name = f"h.{i}.{conv1d_weight_name}.weight"
mlc_name = f"transformer.{src_name}"
mapping.add_mapping(
mlc_name,
[src_name],
functools.partial(
lambda x, dtype: x.transpose().astype(dtype),
dtype=named_parameters[mlc_name].dtype,
),
)
for mlc_name, mlc_param in named_parameters.items():
if mlc_name not in mapping.param_map:
# transformer.h.0.attn.c_attn.weight --> h.0.attn.c_attn.weight
source_name = mlc_name.split(".", 1)[1]
mapping.add_mapping(
mlc_name,
[source_name],
functools.partial(
lambda x, dtype: x.astype(dtype),
dtype=mlc_param.dtype,
),
)
return mapping