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Comment Re:American Open Weight Models (Score 1) 109

Any quantization beyond Q4_0 goes mad (losing context, making category errors, malforming markup tags, mangling and inventing words) long before the context reaches a size I would consider "useful". I've tried running 31B at IQ3_XS and it looks alright from a distance, for a few prompts at a time. Unfortunately the errors compound and semantic drift goes into runaway. I have no interest in playing with quantizations any smaller than that. The only thing "massively wrong" is the suitability of a 2-bit quantization for my actual use. I've investigated it, and it can be an amusing toy, but it is far from usable for any meaningful work.

Even Q4_K_M was too error-prone for meaningful use, and I was using Q5_K_M as my baseline of "usable for a while". Fortunately, most of the heavily quantized models are based on QAT releases now, and a 4-bit QAT model is pretty much on par with a 5-bit non-QAT model.

Comment Re:American Open Weight Models (Score 1) 109

DeepMind has released Gemma 4, which doesn't include their largest models, but 31B is a creditable model. I wish I could say the same about the 26B-A4B model, which is just smart enough to be entertaining for a few days or weeks, then everything it does starts to sound the same. Unfortunately, 31B on my hardware (i5-8500, 48 GB DDR4, 12 GB RTX 3060) runs at 0.3 to 1.2 t/s. So while I'm not a big fan of Alphabet's business practices at large, they aren't regressing. Switching to the MIT license basically means they're abdicating all control over derivatives.

The only thing Grok ever really did for open weight AI was show up for the party a couple times. At first, this helped establish a baseline that could never be retracted, but it hasn't proven to be particularly important. Everything since has been far off the bleeding edge, but they collect their participation trophies. I think their subsequent actions have gone a long way toward demonstrating their purposes, which are wholly selfish. They'll do as little as they can to contribute while retaining the benefits of being perceived as open and competitive.

Comment Re:Volvo but not Polestar? (Score 1) 125

Depreciation is high, meaning you're mostly paying for a name—which people probably aren't going to do anymore. I was just looking at the market for used Polestar 2s last week: a 2024 AWD model with 48k miles (so someone leased it for three years and put every mile allowed onto it) can be had for $29k. This was almost identical to the pricing of a used Hyundai Ioniq 5 with AWD, and the Ioniq started about $5k cheaper.

Comment Re:Mirror mirror on the wall (Score 1) 42

So who is to blame when someone uses a model that has had the safety rails deliberately stripped off, like a Heretic or Abliterix fine tune? These are generally couched in "for research purposes only" terms, but I use an Abliterix fine tune of Gemma 4 26B-A4B as my "daily driver". It absolutely never refuses anything, although it spends a lot of time patting itself on the back for understanding what I say well enough to paraphrase it (reasonably) accurately.

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