metadata
library_name: peft
⚠️⚠️⚠️ Only for research purpose. Do not use it for medical purpose. ⚠️⚠️⚠️
Training procedure
The following bitsandbytes quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
- PEFT 0.5.0.dev0
How to cite
本データを利用する場合は以下の文献の引用をご検討ください.
@article{sukeda2023jmedlora,
title={{JMedLoRA: Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning}},
author={Sukeda, Issey and Suzuki, Masahiro and Sakaji, Hiroki and Kodera, Satoshi},
journal={arXiv preprint arXiv:2310.10083},
year={2023}
}