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Cabra: A portuguese finetuned instruction commercial model

LoRA adapter created with the procedures detailed at the GitHub repository: .

This training was done at 1 epoch using P100 at Kaggle, by around 11 hours, at a random slice of the dataset.

This LoRA adapter was created following the procedure:

Training procedure

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • 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: fp4
  • bnb_4bit_use_double_quant: False
  • bnb_4bit_compute_dtype: float32

Framework versions

  • PEFT 0.5.0.dev0
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Adapter for

Dataset used to train Gustrd/mpt-7b-lora-cabra3-adapter