medqa

Repo for BenCao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

Repo for Chinese Medical ChatGLM 基于中文医学知识的ChatGLM指令微调

MedMO: Medical Foundation Model

Single-file, zero-dependency local LLM benchmark suite + live dashboard. Deterministic scoring (Wilson CIs, paired McNemar A/B), per-question drill-down & live system metrics — for any OpenAI-compatible server (llama.cpp/vLLM/Ollama/LM Studio/ds4). Broad + medical benchmark panel.

Implementation of MedPrompt for small language models

🔍 Enhance your cloud-native observability with HUATUO, using eBPF for deep kernel insights, automated tracing, and dynamic performance metrics.

Train MedGemma-1.5-4B on MedQA-SWE with LoRA SFT on LightningAI

Accuracy is not readiness: an open-source robustness stress-test of frontier LLMs (Opus 4.8, GPT-5.5, Grok 4.3, Gemini 3.5 Flash) on medical QA. Re-implements & extends Gu et al. 'The Illusion of Readiness in Health AI'.

Reliable medical QA with Mistral-7B, QLoRA, selective prediction, and learned abstention via warm-start SFT + DPO.

Quantized Low-Rank Adaptation LLM for MedQA

Build auditable medical reasoning datasets with Kimi K3, deterministic answer checks, and W&B logging

Asha, DNAi's medical AI agent: the same language model alone and inside Asha, same items, same grader. Per-item, re-gradable artifacts for HealthBench (5,000, Hard, Professional, Vishwanath 500), MedQA, psychosis-bench, enclomiphene-bench, a locked pediatric chart, plus model cards and A2A agent cards.

Implementation of MedPrompt for small language models

Paninian rule-augmented RAG for USMLE-style medical QA on MedQA. FAISS textbook retrieval + explainable clinical rule traces.