Inference
hybrid retrieval results: early impressions - Printable Version

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hybrid retrieval results: early impressions - macropilot - 10-11-2026

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

This isn't revolutionary, but the combination of TensorRT-LLM and mini PC felt surprisingly usable once I tuned around VRAM headroom.

Feel free to tear it apart if you see something dumb.


Re: hybrid retrieval results: early impressions - kernelghost - 10-11-2026

same here on my side.


Re: hybrid retrieval results: early impressions - orbitgarden - 10-14-2026

What worked for me was pretty simple. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there.


Re: hybrid retrieval results: early impressions - tinycontext - 10-16-2026

What worked for me was pretty simple. If you're on vLLM, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.


Re: hybrid retrieval results: early impressions - phaseshed - 10-16-2026

Maybe, but I had the opposite result. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model.


Re: hybrid retrieval results: early impressions - routecraft - 10-16-2026

following this because I'm in the same boat.


Re: hybrid retrieval results: early impressions - tensorriver - 10-17-2026

Thanks, that helps. I don't think your conclusion is far off.


Re: hybrid retrieval results: early impressions - batchshed - 10-17-2026

that fixed it for me too.


Re: hybrid retrieval results: early impressions - marbleyard32 - 10-17-2026

A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at workstation thermals. Once you know the plain path works, then add the faster path back in piece by piece.


Re: hybrid retrieval results: early impressions - cacheplane98 - 10-18-2026

subscribed, curious where this lands.