Instructions to use tikeape/Qwen-3-4B-Prompt-Gen-v1-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 tikeape/Qwen-3-4B-Prompt-Gen-v1-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 tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

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 tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

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 tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

Use Docker

docker model run hf.co/tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

LM Studio
Jan
Ollama
How to use tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF with Ollama:
```
ollama run hf.co/tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16
```
Unsloth Desktop

How to use tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

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": "tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16
```

Lemonade

How to use tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

Run and chat with the model

lemonade run user.Qwen-3-4B-Prompt-Gen-v1-GGUF-F16

List all available models

lemonade list

Hermes Agent

How to use tikeape/Qwen-3-4B-Prompt-Gen-v1-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 tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

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 tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16

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 "tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF:F16" \
  --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"

Model Purpose

The purpose of this model is to generate high quality, realistic prompts that users might actually ask models.

It can generate large amounts of synthetic realistic sounding prompts just by being told "Generate a prompt", or you can request a specific topic.

Issues

The model generates diverse prompts but there a few it directly repeats from the training dataset.
The model is almost 100% english
Although you can just use "Generate a prompt", I highly suggest giving a specific topic as it repeats less.

Status

This is a experiemental version and not the best it can be.

Finetuned with: Unsloth

Downloads last month: 16

GGUF

Model size

4B params

Architecture

qwen3

Hardware compatibility

4-bit

16-bit

Inference Providers NEW

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Model tree for tikeape/Qwen-3-4B-Prompt-Gen-v1-GGUF

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tikeape/Qwen-3-4B-Prompt-Gen-v1

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