Instructions to use PJiNH/ax7bplanner-v3-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use PJiNH/ax7bplanner-v3-GGUF 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 PJiNH/ax7bplanner-v3-GGUF
# Run inference directly in the terminal:
llama cli -hf PJiNH/ax7bplanner-v3-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf PJiNH/ax7bplanner-v3-GGUF
# Run inference directly in the terminal:
llama cli -hf PJiNH/ax7bplanner-v3-GGUF

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf PJiNH/ax7bplanner-v3-GGUF
# Run inference directly in the terminal:
./build/bin/llama cli -hf PJiNH/ax7bplanner-v3-GGUF

Use Docker

docker model run hf.co/PJiNH/ax7bplanner-v3-GGUF

Llama new
LM Studio
Jan
Ollama
How to use PJiNH/ax7bplanner-v3-GGUF with Ollama:
```
ollama run hf.co/PJiNH/ax7bplanner-v3-GGUF
```
Unsloth Desktop

How to use PJiNH/ax7bplanner-v3-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf PJiNH/ax7bplanner-v3-GGUF

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": "PJiNH/ax7bplanner-v3-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use PJiNH/ax7bplanner-v3-GGUF with Docker Model Runner:
```
docker model run hf.co/PJiNH/ax7bplanner-v3-GGUF
```

Lemonade

How to use PJiNH/ax7bplanner-v3-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PJiNH/ax7bplanner-v3-GGUF

Run and chat with the model

lemonade run user.ax7bplanner-v3-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use PJiNH/ax7bplanner-v3-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf PJiNH/ax7bplanner-v3-GGUF

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 PJiNH/ax7bplanner-v3-GGUF

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use PJiNH/ax7bplanner-v3-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf PJiNH/ax7bplanner-v3-GGUF

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 "PJiNH/ax7bplanner-v3-GGUF" \
  --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"

ax7bplanner-v3 (GGUF)

Office-Claw(김대리)의 Excel 계획 수립 전용 모델이다. 자연어 엑셀 명령을 실행 계획 JSON으로 옮기는 일만 하도록 파인튜닝됐다 — 일반 대화용이 아니다.

베이스: A.X-4.0-Light
용도: planner_model (일반 대화는 skt/A.X-4.0-Light가 맡는다)

쓰는 법

ollama pull hf.co/PJiNH/ax7bplanner-v3-GGUF
ollama cp hf.co/PJiNH/ax7bplanner-v3-GGUF:latest ax7bplanner-v3:latest

Office-Claw 셋업은 저장소 이름만 알려 주면 위 두 줄을 자동으로 한다:

powershell scripts\setup.ps1 -PlannerHfRepo "PJiNH/ax7bplanner-v3-GGUF"

Downloads last month: 6

GGUF

Model size

7B params

Architecture

qwen2

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

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