Instructions to use RobinsAIWorld/kintsugi-models-frozen 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 RobinsAIWorld/kintsugi-models-frozen 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 RobinsAIWorld/kintsugi-models-frozen:Q4_K_M # Run inference directly in the terminal: llama cli -hf RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RobinsAIWorld/kintsugi-models-frozen:Q4_K_M # Run inference directly in the terminal: llama cli -hf RobinsAIWorld/kintsugi-models-frozen: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 RobinsAIWorld/kintsugi-models-frozen:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf RobinsAIWorld/kintsugi-models-frozen: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 RobinsAIWorld/kintsugi-models-frozen:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
Use Docker
docker model run hf.co/RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use RobinsAIWorld/kintsugi-models-frozen with Ollama:
ollama run hf.co/RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
- Unsloth Studio
How to use RobinsAIWorld/kintsugi-models-frozen with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for RobinsAIWorld/kintsugi-models-frozen to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for RobinsAIWorld/kintsugi-models-frozen to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for RobinsAIWorld/kintsugi-models-frozen to start chatting
- Pi
How to use RobinsAIWorld/kintsugi-models-frozen with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "RobinsAIWorld/kintsugi-models-frozen:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- OpenClaw new
How to use RobinsAIWorld/kintsugi-models-frozen with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf RobinsAIWorld/kintsugi-models-frozen: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 "RobinsAIWorld/kintsugi-models-frozen: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"
- Docker Model Runner
How to use RobinsAIWorld/kintsugi-models-frozen with Docker Model Runner:
docker model run hf.co/RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
- Lemonade
How to use RobinsAIWorld/kintsugi-models-frozen with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
Run and chat with the model
lemonade run user.kintsugi-models-frozen-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use RobinsAIWorld/kintsugi-models-frozen with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf RobinsAIWorld/kintsugi-models-frozen: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 RobinsAIWorld/kintsugi-models-frozen:Q4_K_M
Run Hermes
hermes
- Atomic Chat
Kintsugi frozen model mirror
Frozen mirror of the on-device GGUF models used by Celestial Kintsugi Oracle
(mba.robin.kintsugitarot). Files are byte-identical server-side copies of the upstream
repos below (copied 2026-08-12); nothing here changes unless we change it. Model set
sourced from AtomicBot-ai/atomic-chat-mobile-data models.json.
Upstream sources
| File | Upstream | License |
|---|---|---|
| LFM2.5-1.2B-Thinking-Q4_K_M.gguf | LiquidAI/LFM2.5-1.2B-Thinking-GGUF | lfm1.0 (LFM Open License) |
| LFM2.5-2.6B-Q4_K_M.gguf | LiquidAI/LFM2.5-2.6B-GGUF | lfm1.0 (LFM Open License) |
| LFM2-700M-Q4_K_M.gguf | LiquidAI/LFM2-700M-GGUF | lfm1.0 (LFM Open License) |
| LFM2-350M-Q4_K_M.gguf / Q5_K_M | LiquidAI/LFM2-350M-GGUF | lfm1.0 (LFM Open License) |
| Q4_K_M/Qwen3.5-4B-*.gguf | sinatras/qwen3.5-4b-split | Apache-2.0 |
| Qwen3.5-2B-Q4_K_M.gguf | unsloth/Qwen3.5-2B-GGUF | Apache-2.0 |
| Qwen3.5-0.8B-Q4_K_M.gguf | unsloth/Qwen3.5-0.8B-GGUF | Apache-2.0 |
| gemma-3-1b-it-Q4_K_M.gguf | ggml-org/gemma-3-1b-it-GGUF | gemma (Gemma license) |
| SmolLM3-Q4_K_M.gguf | ggml-org/SmolLM3-3B-GGUF | Apache-2.0 |
| Bonsai-8B-Q1_0.gguf | prism-ml/Bonsai-8B-gguf | Apache-2.0 |
| Ternary-Bonsai-8B-Q2_0.gguf | prism-ml/Ternary-Bonsai-8B-gguf | Apache-2.0 |
Each model remains under its upstream license; consult the upstream cards before reuse.
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docker model run hf.co/RobinsAIWorld/kintsugi-models-frozen: