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Ollama Local LLM Runtime

Run open-weight models locally with Ollama. Generates Modelfile configs, GPU/CPU tuning, OpenAI-compatible API wiring, structured outputs with JSON mode, and per-model memory budgets for laptop dev.

Ollama gives you a single binary to serve Llama, Mistral, Qwen, and other open models locally. This skill writes Modelfiles for prompt and parameter customization, picks the right quantization for your VRAM, and wires Ollama into clients via its OpenAI-compatible endpoint.

ollama local-llm self-hosted open-weights inference

When to use

Use for offline dev, privacy-sensitive prototypes, CI eval runs without API keys, or self-hosted on-prem deployments where you cannot send data to a managed LLM provider.

Examples

Drop-in OpenAI client swap

Point your existing OpenAI SDK at a local Ollama server

Configure my Node app to use Ollama's OpenAI-compatible endpoint with Llama 3 and JSON-mode structured outputs

Custom Modelfile

Bake a system prompt and parameters into a named model

Write an Ollama Modelfile for a coding assistant on top of qwen2.5-coder:14b with low temperature and a strict system prompt