Instructions to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Use 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 dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Build 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 dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Use Docker

docker model run hf.co/dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

LM Studio
Jan
Ollama
How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with Ollama:
```
ollama run hf.co/dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M
```
Unsloth Desktop

How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with Docker Model Runner:
```
docker model run hf.co/dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M
```

Lemonade

How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Run and chat with the model

lemonade run user.Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "dumbequation/Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Qwen2.5-3B-reasoning-medical-symptoms-GRPO-quant

File size: 662 Bytes

---
base_model: unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- gguf
license: apache-2.0
language:
- en
---


Qwen2.5 3B trained to think and reason like Deepseek R1, specifically on Diagnostic Medicine. 

Use this to aid your differential diagnosis or ask questions or even just test it's reasoning. 

Use the system prompt below for better results
```
Respond in the following format:
<reasoning>
...
</reasoning>
<answer>
...
</answer>
```

# Uploaded  model

- **Developed by:** dumbequation
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit