qwen35-9b-medical

qwen35-9b-medical is an Ollama/GGUF medical assistant profile based on Jackrong/Qwen3.5-9B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF, distributed locally through the Ollama model kwangsuklee/Qwen3.5-9B.Q4_K_M-Claude-4.6-Opus-Reasoning-Distilled-v2.

This repository contains a quantized GGUF model plus an Ollama Modelfile with a Russian medical-study system prompt and conservative generation parameters. It is not a formally validated clinical model and is not a substitute for a licensed clinician.

Model Details

• Architecture: Qwen3.5
• Parameters: 9B
• Quantization: Q4_K_M
• Runtime target: Ollama / llama.cpp-compatible GGUF runtimes
• Context configured in this profile: 8192 tokens
• Primary language target: Russian medical education
• Secondary language support: English prompts
• Profile type: Ollama instruction/profile customization, not a new full-weight supervised fine-tune

Intended Use

This model profile is intended for medical study and structured clinical reasoning practice:

• pediatrics learning;
• pathogenesis, symptoms, diagnostics, and treatment principles;
• differential diagnosis practice;
• red flags and safety-oriented next steps;
• explaining medical concepts in clear Russian;
• handling incomplete clinical information more carefully.

Out-of-Scope Use

Do not use this model as the only basis for:

• diagnosis;
• treatment decisions;
• medication dosing;
• emergency triage;
• replacing a physician or local clinical protocol;
• processing private patient data without appropriate consent and safeguards.

Safety Behavior

The Ollama profile instructs the model to:

• avoid inventing diagnoses, dosages, studies, percentages, and clinical criteria;
• state when there is not enough information;
• separate facts, hypotheses, likely causes, dangerous conditions, and red flags;
• consider pediatric factors such as age, body weight, development, contraindications, and safety;
• suppress visible reasoning traces such as <think> blocks.

Files

• qwen35-9b-medical.Q4_K_M.gguf - quantized GGUF weights.
• Modelfile - Ollama profile with template, system prompt, and parameters.
• USAGE.md - local usage instructions.
• MODEL_CARD_RU.md - Russian model card and safety notes.

Ollama Usage

Download this repository, then create a local Ollama model from the included Modelfile:

ollama create qwen35-9b-medical -f Modelfile
ollama run qwen35-9b-medical

Example prompt:

Ребенок 5 лет: температура 38.8, кашель, одышка, втяжения межреберий.
Разбери по схеме: вероятно, что опасно исключить, диагностика, красные флаги,
что делать сейчас. Без дозировок.

Generation Parameters

temperature: 0.25
top_p: 0.85
top_k: 40
repeat_penalty: 1.1
presence_penalty: 0.2
num_ctx: 8192

Local Smoke Benchmark

A small local comparison against the base profile was run on four medical prompts. The benchmark checked visible thinking leakage, uncertainty handling, red-flag behavior, and answer structure. This is a smoke test only, not a clinical validation benchmark.

Metric	Base model	Medical profile
Visible thinking leakage	2/4 prompts	0/4 prompts
Average response time	31.0s	36.1s
Medical answer structure	weaker	stronger
Missing-data handling	weaker	stronger
Red-flag behavior	mixed	better
Clinical factual reliability	not formally validated	not formally validated

Limitations

• The model can hallucinate.
• It can provide incomplete or outdated medical information.
• It can overgeneralize if the prompt lacks age, weight, symptom duration, exam findings, comorbidities, or medication history.
• Current guidelines and medication information must be verified from authoritative medical sources.
• The model card does not claim formal clinical validation.

License

The uploaded artifact is based on the upstream model named above. Reuse must comply with the Apache-2.0 license and any applicable third-party terms from the upstream model lineage.