Text Generation
PEFT
Safetensors
English
lora
qlora
phi-3.5
medquad
biomedical-nlp
patient-education
plain-language
source-grounded
conversational
Instructions to use AiLLMBS/phi35-medquad-patient-explainer-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AiLLMBS/phi35-medquad-patient-explainer-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct") model = PeftModel.from_pretrained(base_model, "AiLLMBS/phi35-medquad-patient-explainer-lora") - Notebooks
- Google Colab
- Kaggle
| { | |
| "variant": "base", | |
| "model_id": "microsoft/Phi-3.5-mini-instruct", | |
| "adapter_dir": null, | |
| "eval_file": "data_v2_1000_final/medquad_eval.jsonl", | |
| "examples_evaluated": 99, | |
| "average_source_keyword_coverage": 0.7102292768959437, | |
| "average_copy_ratio": 0.055309146456882535, | |
| "safety_note_rate": 0.8484848484848485, | |
| "plain_language_header_rate": 0.0, | |
| "rewrite_success_rate": 0.0, | |
| "average_output_chars": 1225.7676767676767, | |
| "success_min_keyword_coverage": 0.55, | |
| "success_max_copy_ratio": 0.9 | |
| } |