| ▲ | Ask HN: How do you use LLMs for private discussions? | ||||||||||||||||
| 8 points by emerongi 12 hours ago | 12 comments | |||||||||||||||||
I sometimes have things to discuss with LLMs, which are more private than usual. I was thinking how to do it in a way that doesn't reveal my identity.
It seems like a lot of effort. So is running a local LLM, for which I don't even have the hardware. How do you do it? | |||||||||||||||||
| ▲ | MyMemoryfails 6 hours ago | parent | next [-] | ||||||||||||||||
Running Local LLM isn't really a lot effort anymore, since its one command away to get the familar interface of chat AI. This setup requires 24GB ish VRAM and 32GB ram, so if you have capable gaming PC which can do AAA games, you can run it. - 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. | |||||||||||||||||
| ▲ | 7402 10 hours ago | parent | prev | next [-] | ||||||||||||||||
With llama.cpp, Intel i9-13900KS CPU, 96 GB RAM, RTX 4070 running locally. The models I'm using right now with that are: | |||||||||||||||||
| ▲ | PaiDxng 8 hours ago | parent | prev | next [-] | ||||||||||||||||
The hardest part isn’t payment; the prompt itself may identify you. For truly sensitive topics, I’d abstract the details first, then use a local model—or avoid an LLM entirely. | |||||||||||||||||
| ▲ | hbcondo714 10 hours ago | parent | prev | next [-] | ||||||||||||||||
Maybe try Ollama Cloud, Prompt or response data is never logged or trained on: | |||||||||||||||||
| ▲ | noman-land 7 hours ago | parent | prev | next [-] | ||||||||||||||||
Best is to use local LLMs obviously. I haven't used it but nano-gpt accepts crypto payments. | |||||||||||||||||
| ▲ | blinded 12 hours ago | parent | prev | next [-] | ||||||||||||||||
I spin up a gpu instance in a cloud, run my model via vllm, connect to it via an ssh tunnel. done. | |||||||||||||||||
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| ▲ | RobotCaleb 8 hours ago | parent | prev | next [-] | ||||||||||||||||
I don't | |||||||||||||||||
| ▲ | ahdgs 10 hours ago | parent | prev | next [-] | ||||||||||||||||
i've been using OpenAI's os PII-masking model, works decently and lightweight enough to run virtually anywhere https://huggingface.co/openai/privacy-filter | |||||||||||||||||
| ▲ | downbad_ 12 hours ago | parent | prev | next [-] | ||||||||||||||||
Can't you do it logged out? | |||||||||||||||||
| ▲ | Havoc 10 hours ago | parent | prev [-] | ||||||||||||||||
With a local one | |||||||||||||||||