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This model is a fine-tuned Llama2-7b-chat-hf model with Japanese dataset with LoRA.

This model is finetuned by the joint efforts of Sparticle Inc. and A. I. Hakusan Inc.

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/ .

Training procedure

The following 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

Framework versions

  • PEFT 0.5.0.dev0

You must agree with Meta's agreements when using this LoRA adapter with Llama-2.

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Dataset used to train Sparticle/llama-2-7b-chat-japanese-lora

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