from_pretrained(config.base_model_name_or_path) lora_model = PeftModel.from_pretrained(model, "ybelkada/opt-350m-lora") By default, the [PeftModel] is set for inference, but if you'd like to train the adapter some more you can set is_trainable=True. lora_model = PeftModel.from_...
@@ -413,7 +413,7 @@ def test_from_pretrained_sanity_check(self, config_class, mandatory_kwargs, tmp_ with open(tmp_path / "adapter_config.json", "w") as f: json.dump(non_peft_json, f) msg = f"The config that is trying to be loaded is not a valid {config_class.__name_...
from_pretrained( "meta-llama/Llama-3.2-1B", pad_token_id=tokenizer.eos_token_id, torch_dtype=torch.bfloat16, device_map="auto", num_labels=len(label_list) ) for name, module in model.named_modules(): print(name) lora_config = LoraConfig( task_type=TaskType.TOKEN_CLS, r=16, ...
Print required keys to help w/ troubleshooting @@ -157,7 +157,7 @@ def from_peft_type(cls, **kwargs): filtered_kwargs,unexpected_kwargs=_check_and_remove_unused_kwargs(cls,kwargs) ifnotMIN_EXPECTED_CONFIG_KEYS.issubset(set(filtered_kwargs.keys())): raiseTypeError(f"The config that ...
train_visa.py web_demo.py data images pretrained_ckpt LICENSE README.md requirements.txt Latest commit FantasticGNU initial commit Aug 29, 2023 a5e6838·Aug 29, 2023 History File metadata and controls 21 lines (19 loc) · 377 Bytes
from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name).to(device) but this is model is behaving like the base model like gemma. what was the problem with this. I have files like this when i load my model also, it is loading the gemma weights! Member ...