Thought I'd post a small recipe because a lot of threads ask similar things.

Maybe useful as a starting point: llama.cpp on Threadripper box, keeping prefix caching in mind from the start.

Maybe useful as a starting point for newer folks.

My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.

Spent some time on this today and wanted to compare notes.

I'm comparing two approaches here: keep it simple on 5090, or squeeze more out of the stack and deal with the complexity.

What would you pick if you had to live with it for a few months?

Maybe I'm missing something obvious.

I'm mostly working with Llama in vLLM on mini PC. The part I'm trying to understand is consumer GPUs.

Would appreciate practical advice rather than theory.

This keeps coming up in conversation so I figured I'd start a thread.

One thing I keep noticing is that people underestimate long context until they actually try to run this stuff for more than one afternoon.

Wondering if this is just where the whole space is heading now.

This is mostly for local work rather than public serving.

This keeps coming up in conversation so I figured I'd start a thread.

The more I work with local setups, the more it seems like tokens/sec decides everything downstream.

Curious whether that lines up with what other people are seeing.

Did a bit of testing and thought I'd post the result here.

I tried this with DeepSeek using vLLM on M3 Max. The headline result was better than I expected, but tokens/sec still ended up being the limiting factor.

Curious if anyone else landed in the same place.

I figured I'd ask here before changing everything.

I'm mostly working with Mistral in SGLang on B200. The part I'm trying to understand is INT4.

Not looking for the perfect answer, mostly what worked in real use.

This is mostly for local work rather than public serving.

I expected the biggest difference to come from the model, but the stack around it mattered at least as much.

Did a bit of testing and thought I'd post the result here.

After a few runs on mini PC, I ended up with decent performance, but the setup only really made sense once I adjusted around NVFP4.

Nothing scientific here, just practical notes from a real setup.

Thought I'd post a small recipe because a lot of threads ask similar things.

Just sharing a setup that ended up working reasonably well: DeepSeek, MLX, A6000, with a lot of attention on INT4.

If someone wants the exact settings I can clean them up and post them.

Did a bit of testing and thought I'd post the result here.

After a few runs on B200, I ended up with decent performance, but the setup only really made sense once I adjusted around workstation thermals.

Nothing scientific here, just practical notes from a real setup.