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Rewrite translate_keys #73

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Rewrite translate_keys #73

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69 changes: 29 additions & 40 deletions download_weights.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,52 +9,41 @@
from unittest.mock import patch
from transformers.dynamic_module_utils import get_imports

def translate_key(in_key: str):
out_key = in_key.replace('.weight', '')
if out_key.startswith('model.'):
out_key = out_key.replace('model.', '')
if out_key.endswith('input_layernorm'):
out_key = out_key.replace('input_layernorm', 'attention_norm')
elif out_key.endswith('mlp.down_proj'):
out_key = out_key.replace('mlp.down_proj', 'feed_forward.w2')
elif out_key.endswith('mlp.gate_proj'):
out_key = out_key.replace('mlp.gate_proj', 'feed_forward.w1')
elif out_key.endswith('mlp.up_proj'):
out_key = out_key.replace('mlp.up_proj', 'feed_forward.w3')
elif out_key.endswith('post_attention_layernorm'):
out_key = out_key.replace('post_attention_layernorm', 'ffn_norm')
elif out_key.endswith('self_attn.k_proj'):
out_key = out_key.replace('self_attn.k_proj', 'attention.wk')
elif out_key.endswith('self_attn.o_proj'):
out_key = out_key.replace('self_attn.o_proj', 'attention.wo')
elif out_key.endswith('self_attn.q_proj'):
out_key = out_key.replace('self_attn.q_proj', 'attention.wq')
elif out_key.endswith('self_attn.v_proj'):
out_key = out_key.replace('self_attn.v_proj', 'attention.wv')
elif out_key.endswith('down_proj'):
out_key = out_key.replace('down_proj', 'w2')
elif out_key.endswith('gate_proj'):
out_key = out_key.replace('gate_proj', 'w1')
elif out_key.endswith('up_proj'):
out_key = out_key.replace('up_proj', 'w3')
elif out_key == 'embed_tokens':
out_key = 'tok_embeddings'
elif out_key == 'norm':
out_key = 'norm'
else:

def translate_key(in_key):
out_key = in_key.removeprefix("model.").removesuffix(".weight")

match out_key.split("."):
case [key] if key in {"lm_head", "embed_tokens", "norm"}:
out_key = out_key.replace("embed_tokens", "tok_embeddings")
out_key = out_key.replace("lm_head", "output")

case [*_, key] if key.endswith("layernorm"):
out_key = out_key.replace("layernorm", "norm")
out_key = out_key.replace("input", "attention")
out_key = out_key.replace("post_attention", "ffn")

case [*_, "self_attn", qkvo_proj]:
qkvo = qkvo_proj[0]
out_key = out_key.replace("self_attn", "attention")
out_key = out_key.replace(qkvo_proj, f"w{qkvo}")

case [*_, proj] if proj.endswith("proj"):
kind = proj[:-5]
n = {"gate": 1, "down": 2, "up": 3}[kind]
out_key = out_key.replace(proj, f"w{n}")
out_key = out_key.replace("mlp", "feed_forward")

case _:
print(f"Don't know how to handle {in_key=}")
elif out_key == 'lm_head':
out_key = 'output'
else:
print(f"Don't know how to handle {in_key=}")
return f'{out_key}.weight'

return f"{out_key}.weight"


def reverse_permute(tensor: torch.Tensor, n_heads: int = 32, dim1:int = 4096, dim2: int = 4096) -> torch.Tensor:
return tensor.view(n_heads, 2, dim1 // n_heads // 2, dim2).transpose(1, 2).reshape(dim1, dim2)



def fixed_get_imports(filename: str | os.PathLike) -> list[str]:
"""Work around for https://huggingface.co/microsoft/phi-1_5/discussions/72."""
if not str(filename).endswith("/modeling_deepseek.py"):
Expand Down Expand Up @@ -115,4 +104,4 @@ def main(model_id: str, out_dir: Path):


if __name__ == "__main__":
tyro.cli(main)
tyro.cli(main)