Ollama Config Generator
Generate an Ollama Modelfile, the pull/run/create commands, server-tuning env vars, and the OpenAI-compatible snippet to point a coding agent at a local model.
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 ollamaOn 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.
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 ollamaOn 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.
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ℹ️ Disclaimer
This tool is provided for informational and educational purposes only. All processing happens entirely 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. Use at your own discretion.