Instructions to use guell00/VELUM-Coder 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 guell00/VELUM-Coder 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 guell00/VELUM-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf guell00/VELUM-Coder:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf guell00/VELUM-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf guell00/VELUM-Coder: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 guell00/VELUM-Coder:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf guell00/VELUM-Coder: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 guell00/VELUM-Coder:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf guell00/VELUM-Coder:Q4_K_M
Use Docker
docker model run hf.co/guell00/VELUM-Coder:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use guell00/VELUM-Coder with Ollama:
ollama run hf.co/guell00/VELUM-Coder:Q4_K_M
- Unsloth Studio
How to use guell00/VELUM-Coder 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 guell00/VELUM-Coder 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 guell00/VELUM-Coder to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for guell00/VELUM-Coder to start chatting
- Pi
How to use guell00/VELUM-Coder with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf guell00/VELUM-Coder: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": "guell00/VELUM-Coder:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use guell00/VELUM-Coder with Docker Model Runner:
docker model run hf.co/guell00/VELUM-Coder:Q4_K_M
- Lemonade
How to use guell00/VELUM-Coder with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull guell00/VELUM-Coder:Q4_K_M
Run and chat with the model
lemonade run user.VELUM-Coder-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use guell00/VELUM-Coder with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf guell00/VELUM-Coder: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 guell00/VELUM-Coder:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use guell00/VELUM-Coder with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf guell00/VELUM-Coder: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 "guell00/VELUM-Coder: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"
| { | |
| "repo": "guell00/VELUM-Coder", | |
| "base_model": "ornith-ai/Ornith-1.5-9B", | |
| "dataset": "guell00/fds", | |
| "source_model": "ornith_fds_recovered_ckpt250", | |
| "llama_cpp_commit": "f280b26983ad0fdb705a0d9ebf0503e76f2899b0", | |
| "generated_at": "2026-08-25T00:52:58.279253+00:00", | |
| "imatrix": "imatrix/VELUM-Coder-imatrix.gguf", | |
| "policy": { | |
| "q8_uses_imatrix": false, | |
| "q4_q3_q2_q1_use_imatrix": true, | |
| "q5_q6_generated": false, | |
| "iq1_m_embedding_type": "Q8_0", | |
| "iq1_m_output_type": "Q8_0" | |
| }, | |
| "quantizations": [ | |
| { | |
| "name": "Q8_0", | |
| "type": "Q8_0", | |
| "imatrix": false, | |
| "protected": false, | |
| "note": "Highest-quality quantized build; intentionally no imatrix.", | |
| "file": "VELUM-Coder-Q8_0.gguf", | |
| "size_gb": 8.873176723718643, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q4_K_M", | |
| "type": "Q4_K_M", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Recommended default Q4.", | |
| "file": "VELUM-Coder-Q4_K_M.gguf", | |
| "size_gb": 5.242515951395035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q4_K_S", | |
| "type": "Q4_K_S", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Smaller Q4 K-quant.", | |
| "file": "VELUM-Coder-Q4_K_S.gguf", | |
| "size_gb": 4.984093099832535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ4_XS", | |
| "type": "IQ4_XS", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Compact 4-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ4_XS.gguf", | |
| "size_gb": 4.839561849832535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ4_NL", | |
| "type": "IQ4_NL", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Non-linear 4-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ4_NL.gguf", | |
| "size_gb": 5.046104818582535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q4_1", | |
| "type": "Q4_1", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Legacy Q4 variant.", | |
| "file": "VELUM-Coder-Q4_1.gguf", | |
| "size_gb": 5.410362631082535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q4_0", | |
| "type": "Q4_0", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Legacy compact Q4.", | |
| "file": "VELUM-Coder-Q4_0.gguf", | |
| "size_gb": 4.960167318582535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q3_K_L", | |
| "type": "Q3_K_L", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Largest Q3 K-quant.", | |
| "file": "VELUM-Coder-Q3_K_L.gguf", | |
| "size_gb": 4.587242513895035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q3_K_M", | |
| "type": "Q3_K_M", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Balanced Q3 K-quant.", | |
| "file": "VELUM-Coder-Q3_K_M.gguf", | |
| "size_gb": 4.305992513895035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q3_K_S", | |
| "type": "Q3_K_S", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Smaller Q3 K-quant.", | |
| "file": "VELUM-Coder-Q3_K_S.gguf", | |
| "size_gb": 3.966881185770035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ3_M", | |
| "type": "IQ3_M", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Medium 3-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ3_M.gguf", | |
| "size_gb": 4.112144857645035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ3_S", | |
| "type": "IQ3_S", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Small 3-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ3_S.gguf", | |
| "size_gb": 4.070640951395035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ3_XS", | |
| "type": "IQ3_XS", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Extra-small 3-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ3_XS.gguf", | |
| "size_gb": 3.951988607645035, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ3_XXS", | |
| "type": "IQ3_XXS", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Extremely compact 3-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ3_XXS.gguf", | |
| "size_gb": 3.6677021086215973, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q2_K", | |
| "type": "Q2_K", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Aggressive Q2 K-quant.", | |
| "file": "VELUM-Coder-Q2_K.gguf", | |
| "size_gb": 3.564415365457535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q2_K_S", | |
| "type": "Q2_K_S", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Small Q2 K-quant.", | |
| "file": "VELUM-Coder-Q2_K_S.gguf", | |
| "size_gb": 3.443321615457535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ2_M", | |
| "type": "IQ2_M", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Higher-quality 2-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ2_M.gguf", | |
| "size_gb": 3.3597187101840973, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ2_S", | |
| "type": "IQ2_S", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "2-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ2_S.gguf", | |
| "size_gb": 3.1925434172153473, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ2_XS", | |
| "type": "IQ2_XS", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Extra-small 2-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ2_XS.gguf", | |
| "size_gb": 3.059715658426285, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ2_XXS", | |
| "type": "IQ2_XXS", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Extremely compact 2-bit I-Quant.", | |
| "file": "VELUM-Coder-IQ2_XXS.gguf", | |
| "size_gb": 2.888634115457535, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "Q2_0", | |
| "type": "Q2_0", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "2.25 bpw Q2_0.", | |
| "file": "VELUM-Coder-Q2_0.gguf", | |
| "size_gb": 3.136253744363785, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "TQ2_0", | |
| "type": "TQ2_0", | |
| "imatrix": true, | |
| "protected": false, | |
| "note": "Experimental ternary ~2-bit build.", | |
| "file": "VELUM-Coder-TQ2_0.gguf", | |
| "size_gb": 2.9852375090122223, | |
| "status": "uploaded" | |
| }, | |
| { | |
| "name": "IQ1_M", | |
| "type": "IQ1_M", | |
| "imatrix": true, | |
| "protected": true, | |
| "note": "Extreme build. IQ1_M body + Q8_0 embedding/output protection.", | |
| "file": "VELUM-Coder-IQ1_M.gguf", | |
| "size_gb": 3.7305378019809723, | |
| "status": "uploaded" | |
| } | |
| ] | |
| } |