Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Mittai17/meddoc:Q4_K_M# Run inference directly in the terminal:
llama cli -hf Mittai17/meddoc:Q4_K_MUse pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Mittai17/meddoc:Q4_K_M# Run inference directly in the terminal:
./llama-cli -hf Mittai17/meddoc:Q4_K_MBuild from source code
git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Mittai17/meddoc:Q4_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf Mittai17/meddoc:Q4_K_MUse Docker
docker model run hf.co/Mittai17/meddoc:Q4_K_Mmeddoc
A vision + text medical assistant by Mittai17, built for rural and village settings in India. Talk to it in English, Tamil, or Tanglish and it replies in the same language.
Designed to give clear, safe, practical first-line advice and tell you exactly when to get professional help:
- PRECAUTIONS — what to do right now and what NOT to do
- SOLUTIONS — simple step-by-step instructions for home care (in order)
- WHEN TO GET HELP — warning signs meaning go to hospital or call an ambulance
Always includes the right emergency numbers: 112 (national), 108 (ambulance), 102 / 104 (health helplines), 100 (police), 101 (fire).
meddoc also understands images — share a photo (skin, wound, X-ray, lab report) and it will
describe what it sees and advise what to do next.
Files
| File | Description |
|---|---|
medgemma1.5-meddoc-Q4_K_M.gguf |
GGUF model (Q4_K_M, 3.3 GB) |
Modelfile |
Ollama Modelfile with the doctor system prompt |
Use with Ollama
ollama create meddoc -f Modelfile
ollama run meddoc # text
ollama run meddoc "what does this x-ray show?" (attach an image in Open WebUI)
Notes
Adapted from Google's MedGemma 1.5, which is subject to the
Health AI Developer Foundations Terms of Use.
meddoc is a starting point, not a clinical diagnosis tool — when in doubt, go to a hospital.
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4-bit
Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf Mittai17/meddoc:Q4_K_M# Run inference directly in the terminal: llama cli -hf Mittai17/meddoc:Q4_K_M