Instructions to use Tyesee/ZuperAI-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Tyesee/ZuperAI-14B 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 Tyesee/ZuperAI-14B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Tyesee/ZuperAI-14B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Tyesee/ZuperAI-14B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Tyesee/ZuperAI-14B: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 Tyesee/ZuperAI-14B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Tyesee/ZuperAI-14B: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 Tyesee/ZuperAI-14B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Tyesee/ZuperAI-14B:Q4_K_M

Use Docker

docker model run hf.co/Tyesee/ZuperAI-14B:Q4_K_M

LM Studio
Jan

vLLM

How to use Tyesee/ZuperAI-14B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Tyesee/ZuperAI-14B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Tyesee/ZuperAI-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Tyesee/ZuperAI-14B:Q4_K_M

Ollama
How to use Tyesee/ZuperAI-14B with Ollama:
```
ollama run hf.co/Tyesee/ZuperAI-14B:Q4_K_M
```
Unsloth Desktop

How to use Tyesee/ZuperAI-14B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Tyesee/ZuperAI-14B: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": "Tyesee/ZuperAI-14B:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Tyesee/ZuperAI-14B with Docker Model Runner:
```
docker model run hf.co/Tyesee/ZuperAI-14B:Q4_K_M
```

Lemonade

How to use Tyesee/ZuperAI-14B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Tyesee/ZuperAI-14B:Q4_K_M

Run and chat with the model

lemonade run user.ZuperAI-14B-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Tyesee/ZuperAI-14B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Tyesee/ZuperAI-14B: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 Tyesee/ZuperAI-14B:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Tyesee/ZuperAI-14B with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Tyesee/ZuperAI-14B: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 "Tyesee/ZuperAI-14B: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"

ZuperAI-14B / toolkit /install.bat

Tyesee

toolkit: install.bat

67e8d4f verified about 2 months ago

Raw History Blame Contribute Delete

2.18 kB

@echo off
chcp 65001 >nul
title ZuperAI - установщик
echo ============================================
echo   ZuperAI-14B — локальная установка
echo ============================================
echo.
REM --- 1. Проверка Python ---
where python >nul 2>nul
if errorlevel 1 (
    echo [!] Python не найден. Скачай с https://www.python.org/downloads/
    echo     При установке отметь галочку "Add Python to PATH".
    pause
    exit /b 1
)
REM --- 2. Виртуальное окружение + зависимости ---
if not exist venv (
    echo [*] Создаю виртуальное окружение...
    python -m venv venv
)
call venv\Scripts\activate.bat
echo [*] Ставлю зависимости...
pip install -q --upgrade pip >nul 2>nul
pip install -q fastapi uvicorn transformers peft torch accelerate datasets >nul 2>nul
REM --- 3. Скачивание модели (если ещё нет) ---
if not exist ZuperAI-14B-Q4_K_M.gguf (
    echo [*] Скачиваю модель ZuperAI-14B (Q4_K_M, ~9 ГБ). Это займёт время...
    curl -L --progress-bar -o ZuperAI-14B-Q4_K_M.gguf ^
        https://huggingface.co/Tyesee/ZuperAI-14B/resolve/main/ZuperAI-14B-Q4_K_M.gguf
) else (
    echo [*] Модель уже скачана.
)
REM --- 4. Копия в LM Studio (если установлен) ---
if exist "%USERPROFILE%\.lmstudio\models" (
    mkdir "%USERPROFILE%\.lmstudio\models\ZuperAI" 2>nul
    copy /Y ZuperAI-14B-Q4_K_M.gguf "%USERPROFILE%\.lmstudio\models\ZuperAI\" >nul
    echo [*] Модель добавлена в LM Studio (открой LM Studio, чтобы она появилась).
)
REM --- 5. Копия в Ollama (если установлен) ---
where ollama >nul 2>nul
if not errorlevel 1 (
    if exist publish\Modelfile (
        echo [*] Создаю модель в Ollama...
        ollama create ZuperAI-14B -f publish\Modelfile
    )
)
REM --- 6. Запуск веб-морды ---
echo.
echo [*] Запускаю веб-морду: http://localhost:8001
echo     (закрыть - Ctrl+C)
echo.
python webui.py
pause

	@echo off
	chcp 65001 >nul
	title ZuperAI - установщик
	echo ============================================
	echo ZuperAI-14B — локальная установка
	echo ============================================
	echo.

	REM --- 1. Проверка Python ---
	where python >nul 2>nul
	if errorlevel 1 (
	echo [!] Python не найден. Скачай с https://www.python.org/downloads/
	echo При установке отметь галочку "Add Python to PATH".
	pause
	exit /b 1
	)

	REM --- 2. Виртуальное окружение + зависимости ---
	if not exist venv (
	echo [*] Создаю виртуальное окружение...
	python -m venv venv
	)
	call venv\Scripts\activate.bat
	echo [*] Ставлю зависимости...
	pip install -q --upgrade pip >nul 2>nul
	pip install -q fastapi uvicorn transformers peft torch accelerate datasets >nul 2>nul

	REM --- 3. Скачивание модели (если ещё нет) ---
	if not exist ZuperAI-14B-Q4_K_M.gguf (
	echo [*] Скачиваю модель ZuperAI-14B (Q4_K_M, ~9 ГБ). Это займёт время...
	curl -L --progress-bar -o ZuperAI-14B-Q4_K_M.gguf ^
	https://huggingface.co/Tyesee/ZuperAI-14B/resolve/main/ZuperAI-14B-Q4_K_M.gguf
	) else (
	echo [*] Модель уже скачана.
	)

	REM --- 4. Копия в LM Studio (если установлен) ---
	if exist "%USERPROFILE%\.lmstudio\models" (
	mkdir "%USERPROFILE%\.lmstudio\models\ZuperAI" 2>nul
	copy /Y ZuperAI-14B-Q4_K_M.gguf "%USERPROFILE%\.lmstudio\models\ZuperAI\" >nul
	echo [*] Модель добавлена в LM Studio (открой LM Studio, чтобы она появилась).
	)

	REM --- 5. Копия в Ollama (если установлен) ---
	where ollama >nul 2>nul
	if not errorlevel 1 (
	if exist publish\Modelfile (
	echo [*] Создаю модель в Ollama...
	ollama create ZuperAI-14B -f publish\Modelfile
	)
	)

	REM --- 6. Запуск веб-морды ---
	echo.
	echo [*] Запускаю веб-морду: http://localhost:8001
	echo (закрыть - Ctrl+C)
	echo.
	python webui.py
	pause