Viewing profile — sleepyeldrazi
sleepyeldrazi
HN member- Joined
- Thu, Jun 03, 2021, 1:02 PM UTC
- HN karma
- 85
- Public activity
- 29 items
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About sleepyeldrazi
Recent public activity
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Comment #48730373
I got it off kleinanzeigen, its a ebay-like site (but mostly 'pick it up yourself' instead of delivery). Looking at it right now, i do see multiple sales for 850-900. I did spot th…
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Comment #48723391
I can't speak for the US, but in Germany (where hardware is usually more expensive, not less), I got my 3090 3 months ago for 750 euro and have been running the iq4_nl 27B using q4…
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Comment #48722487
I need to ask, since I have desperately wanted to make Gemma 4 12B work, but im not sure if its the quant (i usually up it to q8, which is a lot higher than iq4_nl that i use for 3…
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Comment #48722391
I've been running it almost since launch on a 3090 (24gb vram), you really don't need that much. Second hand those are really cheap and i get 50-70 t/s (with MTP at 2), full ctx. I…
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Comment #48635330
Inspired by [ https://github.com/antirez/ds4 ](ds4), [ https://github.com/CerebrasResearch/reap ](REAP) and [ https://huggingface.co/0xSero/DeepSeek-V4-Flash-162B ](OxSero's Deepse…
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Comment #48625438
That's why I like qwen3.6 27B, it has 0 ego, it knows that it doesn't have complete world knowledge, so when it sees a web_search tool it searches all the time. Even qwen3.5 9B is …
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Comment #48583979
Opus also has a deeply ingrained personality that always de-rails sneakily into what it's taught, not what the user intends. This is good if the user doesn't know the details of th…
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Comment #48354691
Have you tested Qwen3.6 35B? Putting aside the capability claims for that model (which I support, but are not my point here), that 35B has smaller active parameter count than the g…
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Ask HN: Local model experiences with 'high-reasoning distill' finetunes
What are your experiences with all the different variations of finetunes on small models ( I have seen them perform better on public benchmarks in some cases, which shouldn't be ig…
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Comment #48183271
Finetuning takes little resources, the base model training is the slow and expensive part. Architecturally 3.5 models are identical to their 3.6 counterparts, that is why there is …
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Comment #48183222
The best thing I have come up with is just make a bunch of prompts / tasks that I personally care about and need a model to know how to do. As an example, when qwen3.6 27B dropped,…
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Comment #48182673
I don't think I can handle another small model release by qwen, I'm still trying to find the limits of 3.6 27B and they are already threatening us with a new one? But jokes aside, …
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Comment #48171633
I feel like if I had the infrastructure and saw that there is a huge interest in the model, i'd just undercut alibaba's prices a little harder to grab all the consumers. I am sure …
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Comment #48169097
If you want a good dense model, use qwen3.6 27B instead, speed will be up, and if you don't take my word for it being smarter, take openrouter's prices of it against the bigger, sl…
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Comment #48163285
It is actually very exciting that they are also working on 3.5, I will keep this toy project up in the meantime, trying it out and testing things around it helps me learn a bunch. …
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Comment #48162718
Think of this as another way of achieving that. This theoretically has a higher ceiling of how much it can predict at a time. And more importantly is a lot more memory efficient du…
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Comment #48162374
If anyone is interested in watching my 0.8B experiments: https://orthrus.kokoham.com/ . The current code is here: https://git.kokoham.com/sleepy/qwen_orthrus . The hard part was th…
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Comment #48158461
My plan is to validate it first using qwen3.5 0.8B if it even works (as it has the same architecture as qwen3.6 27b, just scaled down a bit) on my 3090. If it does, I'll make a git…
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Comment #48157766
Scratch that, I don't have that kind of money, and 3.5's architecture is a little more divergent from 3's, so it will be a bit less trivial. It does look possible, just not on a st…
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Comment #48157655
From a quick and shallow view of the paper, it looks very feasible (with a little tinkering ) to be adapted to qwen3.6 27B. The process looks somewhat similar to training a LoRA, o…
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Comment #48147095
I love this community, I started building a simple website for this exactly a couple of hours ago and you made an even more advanced version already. Hats off to you sir. If i ever…
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Comment #47931445
I specifically tested on tasks I designed because I know every modern model, not only local ones, are bechmaxxed. The common benchmarks most labs use are (very likely) in their dat…
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Comment #47927421
I haven't honestly dug around to figure out if there's a hardware reason for it, but prompt processing has always been a lot slower for me on macs in general. I mostly use MLX on m…
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Comment #47924352
I have been testing and using Qwen3.6 27B (running from my 3090) since it dropped and I genuinely think this is the first consumer hardware-grade model that can actually replace fr…