5 pointsby emerongi2 hours ago5 comments

740211 minutes ago
With llama.cpp, Intel i9-13900KS CPU, 96 GB RAM, RTX 4070 running locally.
The models I'm using right now with that are:
```
  gpt-oss-120b-F16.gguf
  Qwen_Qwen3.5-27B-Q4_K_M.gguf
  Qwen3.6-35B-A3B-UD-Q5_K_XL.gguf
  gemma-4-31B-it-UD-Q6_K_XL.gguf
```
hbcondo71437 minutes ago
Maybe try Ollama Cloud, Prompt or response data is never logged or trained on:
https://ollama.com/pricing
blinded2 hours ago
I spin up a gpu instance in a cloud, run my model via vllm, connect to it via an ssh tunnel. done.
- stuxnet79an hour ago
  Can you elaborate on the first step? Which cloud and which service? What's the cost outlay if you are just having a convo and not doing anything 'agentic'?
  - blindedan hour ago
    Hey sure.
    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.
Havoc30 minutes ago
With a local one
downbad_2 hours ago
Can't you do it logged out?