1. Use Tor to access the provider?
2. Create a random account?
3. Use some form of untraceable payment (which one?)
4. Scrub all information provided to the LLM from personally identifiable information?
- llama-server -hf ggml-org/gemma-4-26b-a4b-it-GGUF:Q4_K_M
After that simply open browser and enter: http://localhost:8080
What this does: This will download Gemma4 AI with 26B param & start a http server for chat
Its shockingly capable for its size. Does it beat the top end models? No, but as long your don't fall into the hallucations. Its just fine.
Edit: the software is llama.cpp you can download it from "releases" which u can find at github right side. No need to know how to build it
Edit2: Pro tip is, only use chat per context you want to use. Lots users want "dynamically" change the context, but that doesnt really work from my experience.
The models I'm using right now with that are:
[0] https://duck.ai/
https://ollama.com/pricing
It depends, but usually spin up an h100 on lambda.ai or coreweave. They have capacity and their UIs/APIs are nice. I spin it up for an hour or two, believe it was 6~ dollars an hour.
Once the gpu instance is up, you need to run vllm and a model, ie https://docs.lambda.ai/education/large-language-models/deplo....
Then you can connect your pi.dev, openwebui, etc etc to vllm and interact with it like normal.
https://cake.nano-gpt.com