weights = torch.load('pytorch_lora_weights.bin') 2.接下来,你需要准备一个Lora模型实例,并将上述步骤中加载的权重赋值给该模型。 from lora.models import get_model 获取Lora模型实例 model = get_model('lora') 将PyTorch权重赋值给Lora模型 model.load_state_dict(weights) 3.现在,你可以将模型保存为一...
# it is recommended to set the value to 128 desc_act=False, # set to False can significantly speed up inference but the perplexity may slightly bad ) model = MistralGPTQForCausalLM.from_pretrained(base_model, quantize_config) model = PeftModel.from_pretrained( model, lora_weights ) model...
base_model_2 = merge(base_model_1 and LoRA_weights_2) ... If you want to have multiple outputs for each LoRA weights set, then merging is not an option. You will have to change the code inlit_gpt/lora.pyin such a way that there is not a single set oflora_Aandlora_Bweights, ...
记住训练LoRA是第二项,6G就能跑。(使用傻瓜包2.0,caixukun_v1_6G.json,默认配置参数,开启xformers),注意不要开过多的程序,特别是默认占用3G显存的SD绘图软件,不然训练LoRA也会因为显存不够报这个错。 5.点击训练按钮后,后台窗口出现:ValueError: invalid literal for int() 解决办法: 删除这些文件夹 6.点击训...
However, I do not know how to load the Lora weights and then do the inference based on the models's updated weights with LoRA. I sawthis answer, where for example, import torch from peft import PeftModel from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaTokenizer, StoppingCr...
Parameter efficient fine-tuning (PEFT) such as Low Rank Adaptation (LoRA) has become the most common way to save memory and computation usage on the user end during fine-tuning. However, a natural question is whether the private images used for fine-tuning will be leaked to adversaries when...
(lora_scale=0.85) File ~\anaconda3\envs\runpod-dev\lib\site-packages\diffusers\loaders\lora.py:1442, in StableDiffusionXLLoraLoaderMixin.load_lora_weights(self, pretrained_model_name_or_path_or_dict, adapter_name, **kwargs) 1414 """ 1415 Load LoRA weights specified in `pretrained_model_...
add load lora weights implementation for 'lora_' prefix LoRA weights format to LoraLoaderMixin, this should fix #3064, use case: checkpoint_path = os.path.abspath('/path/to/loar_models/lora.safeten...
Instead of this behaviour, we'd expect thatload_lora_weightsretains a relatively constant load time, regardless of the length of our python path. Interesting, thanks for bringing this to our attention. My first instinct would be to add a cache to all the functions that useimportlib.util.find...
Question Hi I finetune my own model with LoRA, new-v1.5-13b-lora-665k-custom using finetune_lora.sh but have trouble merging the LoRA weights with lmsys/vicuna-13b-v1.5 backbone. Can anyone shed some light? Thank you! The command I used ...