Yousefbadr0/GPT-Neo_Medical_Fine-Tuning_using_LoRA

Fine-tuning GPT-Neo-125M using LoRA on a medical QA dataset, achieving 97.95% perplexity reduction and publishing the model on Hugging Face.

/ 100

Experimental

No License No Package No Dependents

Maintenance 13 / 25

Adoption 0 / 25

Maturity 1 / 25

Community 0 / 25

Stars

—

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Mar 09, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/Yousefbadr0/GPT-Neo_Medical_Fine-Tuning_using_LoRA"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

axolotl-ai-cloud/axolotl

Go ahead and axolotl questions

google/paxml

Pax is a Jax-based machine learning framework for training large scale models. Pax allows for...

JosefAlbers/PVM

Phi-3.5 for Mac: Locally-run Vision and Language Models for Apple Silicon

iamarunbrahma/finetuned-qlora-falcon7b-medical

Finetuning of Falcon-7B LLM using QLoRA on Mental Health Conversational Dataset

h2oai/h2o-wizardlm

Open-Source Implementation of WizardLM to turn documents into Q:A pairs for LLM fine-tuning