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Fix convert_checkpoint.py for hf and gemma #121

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Jun 10, 2024
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Fix convert_checkpoint.py for hf and gemma #121

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12 changes: 10 additions & 2 deletions convert_checkpoints.py
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Original file line number Diff line number Diff line change
Expand Up @@ -278,7 +278,7 @@ def _load_orig_llama_weight(input_ckpt_dir: epath.Path):

def _load_hf_llama_weight(input_ckpt_dir: epath.Path):
print(f"Loading checkpoint files from {input_ckpt_dir}.")
safetensors_files = input_ckpt_dir.glob("*.safetensors")
safetensors_files = list(input_ckpt_dir.glob("*.safetensors"))
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if len(list(safetensors_files)) == 0:
raise ValueError(
f"No *.safetensors found in the input dir {input_ckpt_dir}"
Expand Down Expand Up @@ -419,14 +419,22 @@ def _get_llama_state_dict(input_ckpt_dir):
return state_dict, params


def fix_json(text):
text = text.replace("'", '"')
lines = text.split("\n")
lines[-3] = lines[-3].replace(",", "")
return "\n".join(lines)


def _get_gemma_state_dict(input_ckpt_dir):
ckpt_file = list(input_ckpt_dir.glob("*.ckpt"))
assert len(ckpt_file) == 1, "only expect 1 ckpt file for Gemma model."
ckpt_file = ckpt_file[0]
state_dict = torch.load(str(ckpt_file), map_location=torch.device("cpu"))[
"model_state_dict"
]
model_config = json.loads((input_ckpt_dir / "config.json").read_text())
config_text = fix_json((input_ckpt_dir / "config.json").read_text())
model_config = json.loads(config_text)
for key in list(state_dict.keys()):
if state_dict[key].dtype.is_complex and _OUTPUT_SAFETENSORS.value:
assert (
Expand Down
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