Instructions to use Doctor-Shotgun/ML2-123B-Magnum-Diamond-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 Doctor-Shotgun/ML2-123B-Magnum-Diamond-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 Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Doctor-Shotgun/ML2-123B-Magnum-Diamond-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 Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf Doctor-Shotgun/ML2-123B-Magnum-Diamond-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 Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Doctor-Shotgun/ML2-123B-Magnum-Diamond-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 Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M
Use Docker
docker model run hf.co/Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Doctor-Shotgun/ML2-123B-Magnum-Diamond-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": "Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M
- Ollama
How to use Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF with Ollama:
ollama run hf.co/Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF with Docker Model Runner:
docker model run hf.co/Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M
- Lemonade
How to use Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Doctor-Shotgun/ML2-123B-Magnum-Diamond-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.ML2-123B-Magnum-Diamond-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Awesome Model
This language model works great for creative writing and roleplay. Excellent work!
Thanks!
I've actually had some nice results using the sysprompt from Sukino's Game Master preset, as suggested by another user, in combination with the Magnum Mistral v7 context/instruct templates provided on my model card, so might be worth giving that a whirl too.
I will definitely try that sysprompt out and will be on the look out for any other merges you throw together!