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model-conversion : pass config to from_pretrained #16963

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Nov 3, 2025
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model-conversion : pass config to from_pretrained #16963

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9 changes: 4 additions & 5 deletions examples/model-conversion/scripts/causal/run-org-model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -138,6 +138,9 @@ def fn(_m, input, output):
"Model path must be specified either via --model-path argument or MODEL_PATH environment variable"
)


print("Loading model and tokenizer using AutoTokenizer:", model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
config = AutoConfig.from_pretrained(model_path, trust_remote_code=True)

print("Model type: ", config.model_type)
Expand All @@ -147,10 +150,6 @@ def fn(_m, input, output):
print("BOS token id: ", config.bos_token_id)
print("EOS token id: ", config.eos_token_id)

print("Loading model and tokenizer using AutoTokenizer:", model_path)
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
config = AutoConfig.from_pretrained(model_path, trust_remote_code=True)

if unreleased_model_name:
model_name_lower = unreleased_model_name.lower()
unreleased_module_path = (
Expand All @@ -171,7 +170,7 @@ def fn(_m, input, output):
exit(1)
else:
model = AutoModelForCausalLM.from_pretrained(
model_path, device_map="auto", offload_folder="offload", trust_remote_code=True
model_path, device_map="auto", offload_folder="offload", trust_remote_code=True, config=config
)

for name, module in model.named_modules():
Expand Down