This model will generate queries for your i2b2 query builder trained on this dataset for 10 epochs . For evaluation use. Do not use as a final research query builder. Results may be incorrect or mal-formatted. * The onus of research accuracy is on the researcher, not the AI model. If you are using text-generation-webui, you can download the instruction template i2b2.yaml Steps to load this model: 1. Load base model (codellama-34b-hf) using transformers The model was trained for or 10 epochs on i2b2-query-data-1.0 i2b2-query-data-1.0 contains only tasks and outputs for i2b2 queries xsd schemas. The following bitsandbytes quantization config was used during training: — quantmethod: QuantizationMethod.BITSANDBYTES — loadin8bit: False — loadin4bit: True — llmint8threshold: 6.0 — llmint8skipmodules: None — llmint8enablefp32cpuoffload: False — llmint8hasfp16weight: False — bnb4bitquanttype: nf4 — bnb4bitusedoublequant: True — bnb4bitcompute_dtype: bfloat16
Модальности:
Генерация текста
Области применения:
Медицина
Задача: Генерация текста
Автор: nmitchko
Теги: peft, llama, medical, en
Лайков: 2 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
