save-gguf-4bit.py 4位量化gguf格式 # 若本地运行fine-tuning.py出错,出现gcc.exe无法编译,可以尝试下载llvm-windows-x64.zip解压,在系统环境变量path路径里添加llvm下的bin路径 File "C:\Users\zhangyy\.conda\envs\unsloth_env\Lib\site-packages\transformers\utils\import_utils.py", line 1525, in _...
screen -L -Logfile screen.log \ python llama_finetuning.py --use_peft \ --peft_method lora \ --quantization \ --model_name /path/to/Llama-2-7b-hf \ --output_dir /path/to/lora \ --dataset alpaca_dataset \ --batch_size_training 40 \ --num_epochs1 与官方提供的命令不同之处在于...
lora_r: Optional[int] = field(default=16) lora_alpha: Optional[int] = field(default=32) target_modules: Optional[str] = field( default='q_proj,v_proj,k_proj,o_proj,gate_proj,down_proj,up_proj', metadata={ "help": "List of module names or regex expression of the module ...
finetune_qwen1.5.py finetune_qwen2.py requirements.txt write_requiremetns.py 对llama3进行全参微调、lora微调以及qlora微调。除此之外,也支持对qwen1.5的模型进行微调。如果要替换为其它的模型,最主要的还是在数据的预处理那一块。 更新日志 2023/07/28:添加对Baichuan2-7B-Chat的微调。
python-m llama_recipes.finetuning --use_peft --peft_method lora --quantization --model_name ../llama/models_hf/7B --output_dir ../llama/PEFT/model # multiple GPUs torchrun --nnodes 1 --nproc_per_node 1 examples/finetuning.py --enable_fsdp --use_peft --peft_method lora --model_...
fine tuning run the following code under llama2-tutorial folder. python -m llama_recipes.finetuning \--use_peft \--peft_method lora \--quantization \--model_name ./llama/models_hf/7B \--dataset custom_dataset \--custom_dataset.file"dataset.py:get_preprocessed_medical"\--output_dir ../...
然后,执行用于模型微调的finetune.py程序即可: 代码语言:shell 复制 python finetune.py 命令执行成功后,你将会看到类似下面的日志输出: 代码语言:shell 复制 # python finetune.py===BUGREPORT===Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmer...
fine-tuning llama 3.2 #2167 Closed 1 of 4 tasks AugustLigh opened this issue Oct 4, 2024· 3 comments Comments AugustLigh commented Oct 4, 2024 System Info im use python 3.10 and last version of all libraries on 04.10.2024, and i try to run: trl sft --model_name_or_path me...
python -u ./fine-tuning.py \ --base_model “meta-llama/Llama-2-70b-hf” \ For more details, refer to the BigDL LLMonline examplein GitHub. Get Started To get started on fine-tuning large language models using BigDL LLM and the QLoRA technique, we have developed a comprehe...
finetuning_type: lora lora_target: all ### dataset dataset: identity template: llama3 cutoff_len: 1024 overwrite_cache: true preprocessing_num_workers: 16 ### output output_dir: ./saves/llama3.2-3b/lora/sft logging_steps: 10 save_steps: 500 ...