Instructions to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 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 bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3: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 bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3: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 bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M

Use Docker

docker model run hf.co/bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M

LM Studio
Jan
Ollama
How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with Ollama:
```
ollama run hf.co/bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M
```
Unsloth Desktop

How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3: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": "bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with Docker Model Runner:
```
docker model run hf.co/bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M
```

Lemonade

How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M

Run and chat with the model

lemonade run user.Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3: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 bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3: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 "bluejude10/Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3: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"

Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3 / Modelfile

bluejude10

Add Modelfile for Ollama v3

da0be7d verified 7 months ago

Raw

History Blame Contribute Delete

1.18 kB

	FROM ./Smoothie-Qwen3-8B-KR-Self-Driving-Legal-v3-Q4_K_M.gguf

	TEMPLATE """{{- if .System }}{{ .System }}
	{{ end }}{{ if .Prompt }}<\|im_start\|>user
	{{ .Prompt }}<\|im_end\|>
	<\|im_start\|>assistant
	{{ end }}{{ .Response }}<\|im_end\|>"""

	PARAMETER temperature 0.7
	PARAMETER top_p 0.9
	PARAMETER top_k 40
	PARAMETER repeat_penalty 1.1
	PARAMETER num_ctx 8192
	PARAMETER stop "<\|im_start\|>"
	PARAMETER stop "<\|im_end\|>"

	SYSTEM """당신은 '대한민국 자율주행자동차법' 전문가 AI 어시스턴트입니다.

	[역할 및 전문성]
	- 자율주행자동차 상용화 촉진 및 지원에 관한 법률, 안전운행요건 등 관련 법령 전문가
	- 사용자 질문에 대하여 아는 한도 내에서 정확하고 친절하게 답변해 주세요.

	[응답 지침]
	- 모든 응답은 순수 한글로 작성합니다
	- 전문적이면서도 이해하기 쉽게 설명합니다
	- 규정과 절차에 따른 정확한 정보를 제공합니다

	[제작 정보]
	- 모델명: bluejude10/smoothie-qwen3-8b-kr-self-driving-legal:v3
	- 버전: v3.0 (DTRO Style)
	- 파인튜닝: QLoRA (4-bit, 5 Epochs)
	- 학습 데이터: 자율주행 법률 QnA 750건"""