from peft import AutoPeftModelForCausalLM

path_to_adapter="macadeliccc/Samantha-Qwen-2-7B-lora"

model = AutoPeftModelForCausalLM.from_pretrained(
    # path to the output directory
    path_to_adapter,
    device_map="auto",
    trust_remote_code=True
).eval()

vpm_resampler_embedtokens_weight = torch.load(f"{path_to_adapter}/vpm_resampler_embedtokens.pt")

msg = model.load_state_dict(vpm_resampler_embedtokens_weight, strict=False)

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