Instructions to use ggml-org/tinyopenjev-for-testing-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 ggml-org/tinyopenjev-for-testing-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 ggml-org/tinyopenjev-for-testing-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0

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 ggml-org/tinyopenjev-for-testing-gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0

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 ggml-org/tinyopenjev-for-testing-gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0

Use Docker

docker model run hf.co/ggml-org/tinyopenjev-for-testing-gguf:Q8_0

LM Studio
Jan
Ollama
How to use ggml-org/tinyopenjev-for-testing-gguf with Ollama:
```
ollama run hf.co/ggml-org/tinyopenjev-for-testing-gguf:Q8_0
```
Unsloth Desktop

How to use ggml-org/tinyopenjev-for-testing-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0

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": "ggml-org/tinyopenjev-for-testing-gguf:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ggml-org/tinyopenjev-for-testing-gguf with Docker Model Runner:
```
docker model run hf.co/ggml-org/tinyopenjev-for-testing-gguf:Q8_0
```

Lemonade

How to use ggml-org/tinyopenjev-for-testing-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ggml-org/tinyopenjev-for-testing-gguf:Q8_0

Run and chat with the model

lemonade run user.tinyopenjev-for-testing-gguf-Q8_0

List all available models

lemonade list

Hermes Agent

How to use ggml-org/tinyopenjev-for-testing-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 ggml-org/tinyopenjev-for-testing-gguf:Q8_0

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 ggml-org/tinyopenjev-for-testing-gguf:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ggml-org/tinyopenjev-for-testing-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ggml-org/tinyopenjev-for-testing-gguf:Q8_0

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 "ggml-org/tinyopenjev-for-testing-gguf:Q8_0" \
  --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"

tinyopenjev-for-testing-gguf

Q8_0 GGUF (text model + mmproj) of a very small slice of openjev/openjev, for testing purposes only.

The slice keeps the first 4 of 64 text layers and the first 2 of 27 vision blocks, and also cuts the width (hidden size 5120 -> 64, fewer attention heads, smaller FFN). About 34M parameters, most of them in the token embedding and output matrices.

The output is not meaningful. Do not use this model for anything other than testing a loader or a runtime.

OpenJev weights are released under CC BY-NC 4.0 and are derived from Qwen/Qwen3.8-27B (Apache 2.0); see NOTICE, LICENSE and LICENSE-APACHE-2.0.

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GGUF

Model size

32.7M params

Architecture

qwen35

Hardware compatibility

8-bit

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