Instructions to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
Use Docker
docker model run hf.co/deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
- Ollama
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with Ollama:
ollama run hf.co/deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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": "deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with Docker Model Runner:
docker model run hf.co/deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
- Lemonade
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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 "deadbydawn101/RavenX-OpenFable-Coderagent-gemma-4-12B-coder-fable5-composer-Soulinfused-Remastered-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"
llama.cpp served q4 , not as expected
β New session started
hi
/
OpenFable-Coder |
The AI coding agent (OpenFable-Coder)
OpenFable-Coder: Hello! How can I help you with your code today?
who are u
OpenFable-Coder | <div
class="hidden-agent-lint-lint-lint-lint-lint-lint-lint-lint-lint-lint-lin
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Hey @xht033 ! Thanks for testing and reporting this.
The first query ("hi") worked perfectly β you can see the identity prefix and clean response. The second query ("who are u") is hitting a repetition loop.
This is a sampling settings issue, not a model defect. The model works correctly with the right parameters. Here's the fix:
Fix: Set repetition penalty
# llama-server with correct settings:
llama-server \
-m RavenX-OpenFable-Coderagent-gemma4-fable5-Q4_K_M.gguf \
--host 0.0.0.0 --port 8080 \
-c 8192 \
--repeat-penalty 1.1 \
--temp 0.7
If using LM Studio or Ollama:
- Set repetition penalty to
1.1(not 1.0) - Set temperature to
0.7 - Set top_p to
0.9
yuxinlu1 notes the same thing in their model card for the base model β repetition penalty is required for Gemma 4 models to avoid loops. From their docs: "repeating 0000... output almost always means no repetition penalty (set rep_pen 1.1, temp 1.0)"
Let me know if that fixes it! The identity response in your first query ("OpenFable-Coder: Hello!") shows the Soul Infusion is working β just need the right sampling params.
-- Gabriel Garcia / RavenX LLC