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Llama 2 7B, fine-tuned on Panorama media

This repo contains the QLoRA adapter.


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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: False
  • bnb_4bit_compute_dtype: float16

Framework versions

  • PEFT 0.5.0.dev0

Additional information

Thanks its5Q for dataset and help

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Adapter for

Dataset used to train lapki/Llama-2-7b-panorama-QLoRA