vital-med-tiny

Vital-Med Tiny

Vital-Med Tiny is a Qwen3.5-2B based GGUF model fine-tuned for offline healthcare and wellness guidance in African low-resource contexts.

The selected model is intended for CPU-only llama.cpp inference on ordinary laptops. It was built for the Africa Deep Tech Challenge 2026 Laptop LLM track.

Files

Intended Use

Vital-Med Tiny provides educational health-information and wellness guidance:

• symptom triage framing
• red-flag reminders
• malaria-aware patient education
• child fever and dehydration guidance
• blood-pressure and wellness coaching
• desk-worker hydration and ergonomics

It is not a doctor, diagnostic system, or emergency service.

Runtime

llama-cli -m vital-med-Q4_K_M.gguf -p "My 3-year-old in Lagos has had fever for 2 days and is drinking poorly. What should I do now?"

If your llama.cpp build supports chat mode:

llama-cli -m vital-med-Q4_K_M.gguf -cnv

Model Details

Local Profiler Results

Measured on participant laptop with adtc-profiler 0.1.0:

The model stays comfortably under the ADTC 7 GB RAM ceiling.

Model Selection

Three post-training candidates were evaluated:

The correction and DPO runs were rejected because they improved isolated cases while reducing overall response quality.

Codebase

https://github.com/EddyEjembi/Vital-Med-Tiny

Safety And Limitations

Vital-Med Tiny is for educational guidance only. It may hallucinate, omit important red flags, or give incomplete advice. It should not replace clinicians, emergency care, or national medical guidelines.

The model was designed to avoid definitive diagnosis and to recommend professional care when symptoms may be serious. Users should seek qualified medical care for severe, persistent, or worsening symptoms.

Citation

If you discuss this model, cite it as:

Vital-Med Tiny, Africa Deep Tech Challenge 2026 Laptop LLM submission by Eddy Ejembi.