Instructions to use Ilya626/MoonGem-MTP 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 Ilya626/MoonGem-MTP 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 Ilya626/MoonGem-MTP:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ilya626/MoonGem-MTP:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Ilya626/MoonGem-MTP:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ilya626/MoonGem-MTP: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 Ilya626/MoonGem-MTP:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Ilya626/MoonGem-MTP: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 Ilya626/MoonGem-MTP:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Ilya626/MoonGem-MTP:Q4_K_M
Use Docker
docker model run hf.co/Ilya626/MoonGem-MTP:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Ilya626/MoonGem-MTP with Ollama:
ollama run hf.co/Ilya626/MoonGem-MTP:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Ilya626/MoonGem-MTP with Docker Model Runner:
docker model run hf.co/Ilya626/MoonGem-MTP:Q4_K_M
- Lemonade
How to use Ilya626/MoonGem-MTP with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Ilya626/MoonGem-MTP:Q4_K_M
Run and chat with the model
lemonade run user.MoonGem-MTP-Q4_K_M
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
llama.cpp startup
Use a llama.cpp build supporting Gemma 4 Assistant draft-mtp.
Download the Assistant GGUF from this repository and your MoonGem-31B target GGUF.
Replace the three paths below with your own paths, then run:
LLAMA_SERVER="/path/to/llama-server"
TARGET_GGUF="/path/to/MoonGem-31B.gguf"
ASSISTANT_GGUF="/path/to/MoonGem-MTP-Assistant-Q4_K_M.gguf"
"$LLAMA_SERVER" \
--model "$TARGET_GGUF" \
--model-draft "$ASSISTANT_GGUF" \
--spec-type draft-mtp \
--spec-draft-n-max 4 \
--spec-draft-p-min 0 \
--n-gpu-layers 99 \
--n-gpu-layers-draft 99 \
--ctx-size 8192 \
--jinja \
--temp 0.9 --top-p 0.95 --top-k 64 --min-p 0.02 \
--host 127.0.0.1 --port 8080
The Assistant GGUF already includes the LoRA; no additional --lora flag is needed.
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