Found a working way to run pretty heavy models (up to 27–32b in quant) without owning a powerful gpu.
we use free kaggle gpu notebooks: two t4s with 16 gb each = 32 gb vram. weekly limit is about 30 hours.
quick steps:
if anyone needs the ready-to-paste commands, just ask.
we use free kaggle gpu notebooks: two t4s with 16 gb each = 32 gb vram. weekly limit is about 30 hours.
quick steps:
- sign up on kaggle and verify your phone (otherwise you won’t get the dual t4).
- create a notebook → settings → accelerator → gpu t4 × 2.
- install ollama and start the server right in the notebook.
- pull the model you need (from hugging face, including uncensored ones).
- spin up a temporary cloudflare tunnel with cloudflared and get a public url.
- on your local machine connect to that url as a regular ollama endpoint (terminal, cline, open webui, etc.).
if anyone needs the ready-to-paste commands, just ask.