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metadata
license: mit
datasets:
  - kaitchup/ultrachat-100k-flattened

library_name: peft

Training procedure

Finetuned on ultrachat-100k-flattened dataset for 1 epoch, took around 40 hrs on A100 80BG

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: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: float16

Framework versions

  • PEFT 0.5.0

Prompt

Use the following for prompting

prompt = "### Human: "+instruction+"### Assistant: "

merged following the gist https://gist.github.com/ChrisHayduk/1a53463331f52dca205e55982baf9930

Guidance from https://kaitchup.substack.com/

Work supported by https://datacrunch.io/