LoRA(Low-Rank Adaptation)微调冻结了预训练的模型权重,并将可训练的秩分解矩阵注入到 Transformer 架构的每一层,极大地减少了下游任务的可训练参数的数量。与Instruct微调相比,LoRA在每个Transformer块中注入可训练层,因为不需要为大多数模型权重计算梯度,大大减少了需要训练参数的数量并且降低了GPU内存的要求。研究发现,...
This IS NOT expected if you are initializing MyChatGLMForConditionalGeneration from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). *** lora info trainable params: 4194304 || all params...
peft_type: LORA task_type: CAUSAL_LM r: 8 lora_alpha: 32 lora_dropout: 0.1 这个配置中,为什么没有target_modules:query_key_value,那么lora操作的是哪个矩阵呢? Expected behavior / 期待表现 ... luoguanzhouchanged the titlelora微调Feb 23, 2024...
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{adapter_name: peft_config}, adapter_name) File "/home/ma-user/.local/lib/python3.8/site-packages/peft/tuners/lora/model.py", line 119, in __init__ super().__init__(model, config, adapter_name) File "/home/ma-user/.local/lib/python3.8/site-packages/peft/tuners/tuners_utils.py"...
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的可商用开源多模态对话模型 - Fix LoRA bug, matching accurate target_modules for different LLMs · OpenGVLab/InternVL@0c77656
You also need to install alpaca_lora_4bit in repositories and install a patched version of GPTQ-For-Llama from@sterlind However, when I do all that, I still get an error, so either it's broken or there's something else I'm missing. ...
model = get_peft_model(model, peft_config) File "/home/bocheng/softinstalled/anaconda3/envs/py38/lib/python3.8/site-packages/peft/mapping.py", line 142, in get_peft_model peft_config = _prepare_lora_config(peft_config, model_config) File "/home/bocheng/softinstalled/anaconda3/envs/py38...
local/share/virtualenvs/h2o-llmstudio-IuguWLXF/lib/python3.10/site-packages/peft/tuners/lora.py", line 132, in __init__ self.add_adapter(adapter_name, self.peft_config[adapter_name]) File "/home/naren/.local/share/virtualenvs/h2o-llmstudio-IuguWLXF/lib/python3.10/site-packages/peft/...
I have 2 fully trained LoRA adapters. The only configuration difference between them is the rank and alpha used for each. I would like to merge the two adapters into a new adapter, and set that adapter to the "active" one. However, trying to use theadd_weighted_adapter()method always ...