Instructions to use breaksoftware/jiwo-0.8b-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 breaksoftware/jiwo-0.8b-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 breaksoftware/jiwo-0.8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf breaksoftware/jiwo-0.8b-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf breaksoftware/jiwo-0.8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf breaksoftware/jiwo-0.8b-GGUF: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 breaksoftware/jiwo-0.8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf breaksoftware/jiwo-0.8b-GGUF: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 breaksoftware/jiwo-0.8b-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf breaksoftware/jiwo-0.8b-GGUF:Q4_K_M

Use Docker

docker model run hf.co/breaksoftware/jiwo-0.8b-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use breaksoftware/jiwo-0.8b-GGUF with Ollama:
```
ollama run hf.co/breaksoftware/jiwo-0.8b-GGUF:Q4_K_M
```
Unsloth Desktop

How to use breaksoftware/jiwo-0.8b-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf breaksoftware/jiwo-0.8b-GGUF: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": "breaksoftware/jiwo-0.8b-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use breaksoftware/jiwo-0.8b-GGUF with Docker Model Runner:
```
docker model run hf.co/breaksoftware/jiwo-0.8b-GGUF:Q4_K_M
```

Lemonade

How to use breaksoftware/jiwo-0.8b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull breaksoftware/jiwo-0.8b-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.jiwo-0.8b-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use breaksoftware/jiwo-0.8b-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 breaksoftware/jiwo-0.8b-GGUF: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 breaksoftware/jiwo-0.8b-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use breaksoftware/jiwo-0.8b-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf breaksoftware/jiwo-0.8b-GGUF: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 "breaksoftware/jiwo-0.8b-GGUF: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"

jiwo-0.8b GGUF

I decided to use jiwo-0.8b because it had a high score on https://huggingface.co/spaces/multimodalart/jev-decision-index compared to its parameter count.

This GGUF conversion / quantization was generated by a local agent powered by Qwen3.8 27B. See agent-trajectory-log.md for exhaustive details.

Run with https://llama.app

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build -DGGML_VULKAN=ON
cmake --build build --config Release
./build/bin/llama-server -hf breaksoftware/jiwo-0.8b-GGUF

This is a decision model, to be used via /v1/systemone API. See https://github.com/ggml-org/llama.cpp/pull/29818

Source models

https://huggingface.co/eljiwo/jiwo-0.8b

Usage example

curl -s http://localhost:9931/v1/systemone \
  -H "Content-Type: application/json" \
  -d '{
    "state": "Paris is the capital of France.",
    "questions": {
      "c": {
        "type": "choice",
        "instructions": "Which country is Paris the capital of?",
        "criteria": { "France": null, "Japan": null, "Brazil": null }
      }
    }
  }'

how to upload to huggingface:

nerdctl build --progress plain -t hfcli .

nerdctl run -e HF_TOKEN=<token that has write permissions> -v './:/mymodel' --entrypoint /bin/bash hfcli -c 'cd /mymodel && whoami && ls -lah && /root/.local/bin/hf upload breaksoftware/jiwo-0.8b-GGUF .'