The training set of this model contains:
5% of randomly chosen data from llm-japanese-dataset by izumi-lab.
Japanese-alpaca-lora dataset, retrieved from https://github.com/masa3141/japanese-alpaca-lora/tree/main
For inference, please follow the instructions in https://github.com/tloen/alpaca-lora/ .
bitsandbytes quantization config was used during training:
- load_in_8bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- PEFT 0.5.0.dev0
You must agree with Meta's agreements when using this LoRA adapter with Llama-2.
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