Instructions to use pehlicd/crd-wizard 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 pehlicd/crd-wizard 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 pehlicd/crd-wizard # Run inference directly in the terminal: llama cli -hf pehlicd/crd-wizard
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf pehlicd/crd-wizard # Run inference directly in the terminal: llama cli -hf pehlicd/crd-wizard
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 pehlicd/crd-wizard # Run inference directly in the terminal: ./llama-cli -hf pehlicd/crd-wizard
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 pehlicd/crd-wizard # Run inference directly in the terminal: ./build/bin/llama-cli -hf pehlicd/crd-wizard
Use Docker
docker model run hf.co/pehlicd/crd-wizard
- LM Studio
- Jan
- Ollama
How to use pehlicd/crd-wizard with Ollama:
ollama run hf.co/pehlicd/crd-wizard
- Unsloth Studio
How to use pehlicd/crd-wizard 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 pehlicd/crd-wizard 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 pehlicd/crd-wizard to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for pehlicd/crd-wizard to start chatting
- Pi
How to use pehlicd/crd-wizard with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf pehlicd/crd-wizard
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": "pehlicd/crd-wizard" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use pehlicd/crd-wizard with Docker Model Runner:
docker model run hf.co/pehlicd/crd-wizard
- Lemonade
How to use pehlicd/crd-wizard with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull pehlicd/crd-wizard
Run and chat with the model
lemonade run user.crd-wizard-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use pehlicd/crd-wizard with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf pehlicd/crd-wizard
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 pehlicd/crd-wizard
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use pehlicd/crd-wizard with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf pehlicd/crd-wizard
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 "pehlicd/crd-wizard" \ --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"
Upload README.md with huggingface_hub
Browse files
README.md
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license: apache-2.0
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-7B-Instruct
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tags:
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- kubernetes
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- crd
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- code-generation
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- gguf
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- quantised
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---
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# CRD Wizard - Kubernetes CRD Generator (GGUF)
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This is a fine-tuned version of **Qwen2.5-Coder-7B-Instruct**, optimized for generating Kubernetes **Custom Resource Definitions (CRDs)** and their corresponding valid YAML manifests.
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It was trained to understand CRD Schemas (`openAPIV3Schema`) and produce production-ready YAML examples.
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## Model Details
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- **Base Model**: Qwen/Qwen2.5-Coder-7B-Instruct
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- **Format**: GGUF (Q4_K_M Quantization)
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- **Size**: ~4.7 GB
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- **Context Window**: Optimized for **8192** tokens (8k).
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## Usage with Ollama
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1. Download the `crd-wizard.gguf` and `Modelfile`.
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2. Import into Ollama:
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```bash
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ollama create crd-wizard -f Modelfile
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```
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3. Run:
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```bash
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ollama run crd-wizard "Create a PostgresDB resource for the database.my.org/v1 API"
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```
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## IMPORTANT: Context Window
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This model is optimized for an **8k context window**.
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If you use the default 32k window of Qwen, it significantly increases memory usage (RAM) and can cause extreme slowness on consumer hardware (e.g., Apple Silicon M1/M2).
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The included `Modelfile` enforces this limit:
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```dockerfile
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PARAMETER num_ctx 8192
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```
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