Instructions to use moolvylabs/Morphy1.1-Coder-Beta-7B-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 moolvylabs/Morphy1.1-Coder-Beta-7B-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 moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0

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 moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama cli -hf moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0

Use Docker

docker model run hf.co/moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0

Llama new
LM Studio
Jan
Ollama
How to use moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF with Ollama:
```
ollama run hf.co/moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0
```
Unsloth Desktop

How to use moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf moolvylabs/Morphy1.1-Coder-Beta-7B-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": "moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0
```

Lemonade

How to use moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0

Run and chat with the model

lemonade run user.Morphy1.1-Coder-Beta-7B-GGUF-Q8_0

List all available models

lemonade list

Hermes Agent

How to use moolvylabs/Morphy1.1-Coder-Beta-7B-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 moolvylabs/Morphy1.1-Coder-Beta-7B-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 moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use moolvylabs/Morphy1.1-Coder-Beta-7B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf moolvylabs/Morphy1.1-Coder-Beta-7B-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 "moolvylabs/Morphy1.1-Coder-Beta-7B-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"

BETA VERSION

Morphy1.1-Coder-7B is currently available as a beta release for testing and evaluation.

This release is intended to help us evaluate the model's performance, identify areas for improvement, and collect community feedback.

If you encounter any bugs, incorrect outputs, or unexpected behavior, feel free to report them through Issues. Your feedback will help us improve Morphy in future releases.

Thank you for testing Morphy!

Downloads last month: 90

GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

8-bit

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