llSourcell/Doctor-Dignity

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3822 stars · 408 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Doctor Dignity is a fine-tuned Llama2 7B model that can pass the US Medical Licensing Exam, built with PyTorch, Transformers, TRL, and ONNX/TVM for cross-platform deployment. It runs offline on local devices (iOS, Android, Web) so health data stays private.

Use cases

• run a medical question-answering llm offline
• fine-tune llama2 on medical dialogue data
• deploy a private chatbot for health questions
• quantize an llm to run on mobile devices
• convert a model to onnx for cross-platform inference
• build a privacy-preserving medical assistant

When to choose

• you need an offline, private medical QA model
• you want a reference for fine-tuning Llama2 with TRL and LoRA
• you need a small (~3GB) llm deployable to mobile via TVM/ONNX

When to avoid

• you need reliable clinical advice - the project explicitly warns against trusting its output
• you want a production-grade, maintained medical AI
• you need a large general-purpose assistant rather than a medical domain model

Facets

library · maturity experimental

llm-inference llm-training machine-learning chatbot rag large-language-models healthcare artificial-intelligence python cross-platform medical-llm fine-tuning llama2 offline-ai privacy quantization onnx reinforcement-learning usmle natural-language-processing ios android web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="llSourcell/Doctor-Dignity")