Instructions to use elichen-skymizer/GAP-models 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 elichen-skymizer/GAP-models 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 elichen-skymizer/GAP-models:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf elichen-skymizer/GAP-models:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
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 elichen-skymizer/GAP-models:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
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 elichen-skymizer/GAP-models:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
Use Docker
docker model run hf.co/elichen-skymizer/GAP-models:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use elichen-skymizer/GAP-models with Ollama:
ollama run hf.co/elichen-skymizer/GAP-models:UD-Q4_K_XL
- Unsloth Desktop
- Pi
How to use elichen-skymizer/GAP-models with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
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": "elichen-skymizer/GAP-models:UD-Q4_K_XL" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use elichen-skymizer/GAP-models with Docker Model Runner:
docker model run hf.co/elichen-skymizer/GAP-models:UD-Q4_K_XL
- Lemonade
How to use elichen-skymizer/GAP-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull elichen-skymizer/GAP-models:UD-Q4_K_XL
Run and chat with the model
lemonade run user.GAP-models-UD-Q4_K_XL
List all available models
lemonade list
- Hermes Agent
How to use elichen-skymizer/GAP-models with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
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 elichen-skymizer/GAP-models:UD-Q4_K_XL
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use elichen-skymizer/GAP-models with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf elichen-skymizer/GAP-models:UD-Q4_K_XL
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 "elichen-skymizer/GAP-models:UD-Q4_K_XL" \ --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"
Download bpw/refresh-validation.json from elichen-skymizer/GAP-models: direct link, hf CLI and curl.
- Browser
- Download file 780 Bytes
-
https://huggingface.co/elichen-skymizer/GAP-models/resolve/main/bpw/refresh-validation.json
- Command line
-
hf download hf://elichen-skymizer/GAP-models/bpw/refresh-validation.json
-
curl -L -o refresh-validation.json https://huggingface.co/elichen-skymizer/GAP-models/resolve/main/bpw/refresh-validation.json
780 Bytes
| { | |
| "status": "passed", | |
| "updated_utc": "2026-09-06T11:36:05.435023+00:00", | |
| "variants": 70, | |
| "families": 8, | |
| "main_files": 74, | |
| "excluded_files": 15, | |
| "visible_files_accounted_for": 89, | |
| "tensor_descriptors_independently_recalculated": 44213, | |
| "native_scan_errors": [], | |
| "hf_pairing_and_bpw": "all matched", | |
| "removed_Q3_K_M_L_S_absent": true, | |
| "main_tensor_shape_check": "both Qwen families passed", | |
| "added_files_independent_GGUFReader": [ | |
| { | |
| "file": "/home/ubuntu/models/gemma-4-31b-it/bartowski/google_gemma-4-31B-it-Q3_K_XL.gguf", | |
| "tensor_count": 833, | |
| "exact_match": true | |
| }, | |
| { | |
| "file": "/home/ubuntu/models/gemma-4-31b-it/unsloth/gemma-4-31B-it-UD-Q3_K_XL.gguf", | |
| "tensor_count": 833, | |
| "exact_match": true | |
| } | |
| ] | |
| } | |