Ollama Config Generator

Free Ollama config generator. Build a Modelfile (FROM, num_ctx, temperature, SYSTEM), tune the server (flash attention, KV cache, network), and copy the OpenAI-compatible env vars to connect Codex, Qwen Code, or Aider to a local model.

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Generate an Ollama Modelfile and server config

Ollama runs LLMs locally and exposes an OpenAI-compatible API. This tool builds a Modelfile, the commands to pull and build your model, server-tuning environment variables, and the snippet to connect a coding agent.

Install Ollama

brew install ollama

On Linux: curl -fsSL https://ollama.com/install.sh | sh.

Modelfile

A Modelfile customizes a base model: FROM picks the model (e.g. qwen3-coder:30b), PARAMETER num_ctx sets the context window, PARAMETER temperature sets sampling, and SYSTEM sets a system prompt. Build it with ollama create my-coder -f Modelfile.

Server tuning

Set OLLAMA_HOST=0.0.0.0:11434 to accept LAN connections, OLLAMA_FLASH_ATTENTION=1 for faster long contexts, and OLLAMA_KV_CACHE_TYPE=q8_0 to roughly halve context memory.

Connect a coding agent

Point any OpenAI-compatible agent (Codex CLI, Qwen Code, Aider) at Ollama: base URL http://localhost:11434/v1 (the /v1 suffix is required) and any non-empty API key.

Recommended coder models

qwen2.5-coder:7b (~8 GB RAM), qwen2.5-coder:14b (~16 GB, the balanced pick), qwen3-coder:30b (~19 GB download), and deepseek-coder variants.

From the Inventive HQ family
Wide Area Intelligence
Your GPU is an OpenAI-compatible endpoint now.

Route API calls to GPUs you already own over a secure tunnel, cache repeats at the edge, and fall back to the cloud only when you burst.

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This tool is provided for informational and educational purposes only. All processing happens in your browser — no data is sent to or stored on our servers. While we strive for accuracy, we make no warranties about the completeness or reliability of results.