Earlier quoted context omitted.
I went self hosted. It was about time to build a new desktop anyways (roughly 4 to 6 years before the old one goes to frolic at the server farm in the basement) and $2,000 will easily buy a machine that can run the quantized 65b models right now. So I spent slightly more than I normally do on this latest box and it's happily spitting out 10+ tokens a second. You're not going to beat GPT-4 yet, but you have direct con…
Would you be willing to create a guide? I think this would be of great help.
Which won't run everything, but will run model in the GGML format such as https://huggingface.co/TheBloke/llama-65B-GGML
The steps are basically:
1. Download a model
2. Make sure you have the latest nvidia driver for your machine, along with the cuda toolkit. This will vary by OS but is fairly easy on most linux distros.
3. compile https://github.com/ggerganov/llama.cpp following their instructions (in particular, look for LLAMA_CUBLAS for enabling GPU support)
4. Run the model following their instructions. There are several flags that are important, but you can also just use their server example that was added a few days ago - it gives a fairly solid chat interface.