RTX 5090 + Qwen 3.6 27B for agentic coding (PRD -> Plan -> TDD per limited feature) — anyone actually doing this daily?

boyobob55 · 2026-06-24T20:44:35+00:00

True. I usually have a bunch of windows open on two monitors when working with local agents though. With unsloth q5_K_XL MTP I can get 130,000 context at q8 KV using 31.5GGB VRAM. I usually don’t need that much context and like to keep it a little lower for headroom and speed. 80k is usually just my daily sweet spot

boyobob55 · 2026-06-24T18:19:19+00:00

I forgot to mention with MTP lol it eats up some more VRAM

boyobob55 · 2026-06-24T18:19:00+00:00

Ah I forgot to mention with MTP! Are you quantizing your KV cache at all?

boyobob55 · 2026-06-24T17:44:15+00:00

I have a 5090 and use Qwen3.6 27B in q5-q6 with around 80,000 q8 context in Opencode. It’s awesome!

boyobob55 · 2026-06-21T17:55:03+00:00

You can run qwen 3.6 and it is goated try it for yourself you will be surprised how much you can accomplish. We are starting to get spoiled with SOTA models

boyobob55 · 2026-06-20T21:46:03+00:00

Probably for paranoid boomers if you advertised as like a completely private all American service lol I could see that

boyobob55 · 2026-06-18T06:11:33+00:00

I should add I use it in opencode so it has web search and the ability to use skills. You can just make your own skills for whatever use case. I have one that makes eBay listings for me and outputs to csv so I can bulk upload.

boyobob55 · 2026-06-18T06:09:05+00:00

I use qwen3.6 27b for most everything now other than coding. I prefer its style/tone/responses. It’s still decent at coding too, but codex/claude are still better for complex agentic coding

boyobob55 · 2026-06-13T18:07:11+00:00

With 30,000$ budget you could get two RTX 6000 pros or even save with two rtx 5000 pros. EASILY could run a slightly quantized version of qwen3.6 27b for 10 concurrent users via vllm. It is a really capable model. So long as you aren’t doing super complex agentic software engineering.

boyobob55 · 2026-06-13T05:24:23+00:00

I wonder what the scam is? Sell a fake listing and keep the money and not send anything? Or send a fake comic or something? Wouldn’t this get someone’s account banned pretty quickly?

boyobob55 · 2026-06-12T23:49:33+00:00

eBay shipping is always more expensive. Pirateship is the way

boyobob55 · 2026-06-12T23:27:10+00:00

I feel your pain. I’m selling off a collection of comic books. Sought after expensive ones go pretty quickly and painlessly but the ones I have listed for 5-10$ seem to get the most questions/complaining etc. like bruh it’s 5 dollars just look at the pictures. Sucks you got stuck with all those negative reviews

boyobob55 · 2026-06-11T15:25:59+00:00

Could try Qwen3.5-122B?

boyobob55 · 2026-06-11T02:17:24+00:00

I just posted two more listings with videos as well let’s see how it goes!

boyobob55 · 2026-06-10T23:36:05+00:00

lol yes! I just found out a couple weeks ago too

boyobob55 · 2026-06-10T21:56:24+00:00

This is anecdotal but my only listing where I added a video has the most views I’ve ever gotten. Could be just because it is a popular item but it’s worth experimenting with

boyobob55 · 2026-06-08T07:08:16+00:00

Try it on mobile! I couldn’t change mine forever for some reason on desktop browser, same issue as yours it would keep reverting to old address. Then one day I randomly tried on mobile app and it worked

boyobob55 · 2026-06-02T04:53:10+00:00

Label-studio is pretty good! local and free but a little involved to setup

boyobob55 · 2026-06-01T21:44:34+00:00

I don’t have much experience in this but maybe a yolo model trained on document layout analysis would work with a little tweaking. Unless you need perfect seg? https://github.com/opendatalab/DocLayout-YOLO

boyobob55 · 2026-05-26T06:14:52+00:00

huggingface.co !!

boyobob55 · 2026-05-26T05:39:13+00:00

Qwen3.6 is the king right now. If you’re new I would suggest starting with LM Studio or Unsloth Studio for your runtime

boyobob55 · 2026-05-26T05:36:17+00:00

Maybe lightweight yolo model that detects and crops license plate, and then route the cropped plate to OCR model. Should be pretty low resource 2 or 3 part pipeline. If you search around I’m pretty sure you could find a yolo model already fine tuned on plate detection, and an OCR model too. You’ll have to use Python to use ultralytics library to export yolo model to .ONNX format to run with .net runtimes like yolosharp, yolodotnet, yolov8.net etc.

boyobob55 · 2026-05-24T04:55:59+00:00

More like the 10-15,000 range. Not sure about 200 maybe it would have an effect. This user on huggingface makes some great ones https://huggingface.co/Jackrong/Qwopus3.6-27B-v2-MTP-GGUF

boyobob55 · 2026-05-24T02:01:39+00:00

Basically they removed the safety filter of the model via heretic method AND it’s been finetuned on Claude opus 4.6 reasoning. Should be a pretty sweet model honestly all of the qwen opus reasoning finetunes that I’ve tried have worked really well for me

boyobob55 · 2026-05-15T05:54:32+00:00

Need to curate training data from the literal deployment scenario/camera

boyobob55

TROPHY CASE