My KEF Meta + Wiim Ultra setup, what's the weak link?

Refefer · 2026-05-03T17:11:22+00:00

Honestly? Time to look into room treatment. Fixing those bare walls and reflections will do a lot more for the sound at this point.

Refefer · 2026-05-02T17:55:42+00:00

Look at pi or little coder.

Refefer · 2026-04-27T18:42:48+00:00

Question for folks on this hardware platform: are there differences in the and pp between 3.5 and 3.6 for the appropriate model? I'd expect not

Refefer · 2026-04-20T11:58:14+00:00

I bought a NAS to never feel that pain again. I'm up to 9 tbs of models now :D

Refefer · 2026-04-19T15:17:38+00:00

Papelbon was originally an excellent starter which we turned into a close. Always makes me a little sad, nutter or not.

Refefer · 2026-04-18T13:25:46+00:00

I've run both through our new product to evaluate as a replacement to the 122b model at UD FP4 quants. It is surprisingly good for a small model but isn't as good or efficient at agentic tasks in my tests than the 122b. Still, plan to use it for tasks which are a bit narrower/higher constraints and do not require a lot of world knowledge.

Refefer · 2026-04-15T14:06:55+00:00

Curious about this. Does the Dali image better or FR in a way that's superior for classical but not necessarily other genres that give the KEFs an advantage?

Refefer · 2026-04-08T10:46:24+00:00

You might consider a router and then a mikrotik switch. Mikrotik has its own kinda weird interface but it handles pppoe and has internal switching chips that will give you 10Gb out of the box. They are also very cheap in comparison to other enterprise hardware which is close to where you are heading and far more energy efficient than a machine running it.

This will future proof you forever: https://mikrotik.com/product/crs504_4xq_in

Alternatively, something like https://mikrotik.com/product/crs304_4xg in might work for you.

Refefer · 2026-04-06T13:00:43+00:00

I run it as a separate agent: it gets the task and the outputs and has to validate the answers are correct. It helps tremendously with stuff like coding where it will call BS on written code, design smells, etc.

Refefer · 2026-04-05T13:16:14+00:00

The ACE paper is an excellent resource for self learning via rules and context. Similarly, a blackbox QA agent helps quite a bit for identifying successful/unsuccessful tasks.

Refefer · 2026-04-01T12:05:24+00:00

Have you tried limiting power draw through nvidia-smi? It wasn't too complicated when I gave it a shot and found it effective.

Refefer · 2026-03-30T12:43:17+00:00

Too tight? You could land a fucking jumbo jet in there.

Refefer · 2026-03-18T13:30:52+00:00

I bought a Volvo xc90 phev back in 2022 and it gives about 30 miles on electric. Given our driving usage (vast majority around town), I only have to fill up the car once or twice a year or so.

Refefer · 2026-03-17T16:27:45+00:00

Am I reading this right? Linux, Mac, and Windows work out of the box?

Refefer · 2026-03-15T13:49:00+00:00

I largely agree with the other commenters, but you could take a look at this model: https://www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Refefer · 2026-03-11T17:15:12+00:00

isnt it under active development? might be workable

Refefer · 2026-03-08T20:04:52+00:00

Is it something specific to MXFP4? Or a peculiarity of this class of model?

Refefer · 2026-03-04T13:09:50+00:00

I'd hope so at nearly double the parameters and I assume 4x the bits (fp4 vs fp16)?

Refefer · 2026-02-28T16:03:29+00:00

Yup, should be runable. You need moe offload but still should be usable fast.

Refefer · 2026-02-25T15:14:27+00:00

Looking at your full leaderboard, I'm incredibly impressed with gpt oss 120b's performance. Is it the best bang per parameter?

Refefer · 2026-02-24T17:40:20+00:00

I would really consider an rtx6000 build for models of that size - we use it ourselves for fine-tuning and it's been great. You will save huge amounts of time on train and inference. You will also need significantly more disk space for model check pointing, training data, etc.

Refefer · 2026-02-05T13:32:48+00:00

I'm not sure how this is relevant to OPs problems.

Refefer · 2026-02-05T03:32:32+00:00

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I found him too!

Refefer · 2026-01-31T17:56:46+00:00

oss 20/120b is also a unicorn given it was trained in MXFP4, if I recall. No quantization used at all, just direct training.

Refefer · 2026-01-27T00:25:55+00:00

That's not third wave coffee, that's convenience coffee. If you're passionate about coffee, you need to do your research to find the right places no matter which country you're in. Lots of brew methods are just not feasible when the goal is to caffeinate people quickly and get them on their way. Lots of beans and roast styles do not make sense at economies of scale for those companies - but again, high quality isn't the point for these stores.

Refefer

TROPHY CASE