| # Bio-SIEVE | |
| [Arxiv](https://arxiv.org/abs/2308.06610) [Github](https://github.com/ambroser53/Bio-SIEVE) | |
| The single-task Bio-SIEVE optimised for Inclusion/Exclusion classification of biomedical literature given the systematic review's objectives and selection criteria. | |
| These are LoRA weights, having continued training from Guanaco7B. The base LLaMA model will be automatically downloaded when used with the generate_cli.py script from our [Github](https://github.com/ambroser53/Bio-SIEVE). | |
| Also see the [multi-task variant](https://huggingface.co/Ambroser53/Bio-SIEVE-Multi) for exclusion reasoning and PIO extraction. Variants trained without instruction tuned pretraining TBD. | |
| --- | |
| library_name: peft | |
| --- | |
| ## 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: True | |
| - bnb_4bit_compute_dtype: float32 | |
| ### Framework versions | |
| - PEFT 0.4.0.dev0 | |