Can I run it without a GPU?

Yes, with a quantized small model on CPU, though it will be noticeably slower.

Can a local endpoint replace a cloud API?

For simple tasks yes; complex reasoning and long-context work still favor cloud models.

Run Open-Source Models Locally for Zero-Cost Inference

Overview

Instead of claiming third-party credits, run open-weight models locally. Ollama, LM Studio and llama.cpp can load models on a personal computer and expose an OpenAI-compatible local endpoint.

Steps

Check hardware: 16GB+ RAM recommended, a discrete GPU helps.
Install a runtime such as Ollama or LM Studio.
Pull a model of a suitable size (e.g. a quantized 7B/8B).
Start the local server; it listens on a localhost port by default.
Point your code's base_url at the local address.

Caveats

Local inference is free of API fees but uses power and hardware; speed depends on your machine.
Small models are limited; complex tasks may still need a cloud model.
Check the model license before commercial use.

Use cases

Privacy-sensitive data, offline environments, high-frequency simple calls.

Run Open-Source Models Locally for Zero-Cost Inference — FreeToken