Top
Best
New

Posted by tosh 18 hours ago

Qwen3.8-Flash-Next(qwen.ai)
https://imageat.com/models/qwen-3-8-27b-uncensored
657 points | 214 commentspage 3
whwhyb 17 hours ago|
looks like it's better than deepseek v4 flash
xvdvlinux 15 hours ago|
I agreed
railka 16 hours ago||
Also announced GLM-5.3-Flash: https://news.ycombinator.com/item?id=49449507
Roark66 15 hours ago||
Unsloth doesn't have all quant versions yet :-(
andai 17 hours ago||
Father, I cannot scroll the website.
lucabytheway 16 hours ago||
very interesting. new architectures is the most interesting type of news. after what i experienced when gpt-oss came out i have been on the look out for architectural approaches that improves efficiency.
Imustaskforhelp 17 hours ago||
Pelican: https://gist.github.com/SerJaimeLannister/8fdef9c00175da0ca6...

Aside from the pelican, I am sort of impressed by the fact that things are going the way in terms of really impressive small models.

Also I love how this uses N-gram embedding. I think that Longcat was the first one who used it (I submitted that submission on hackernews because I really just loved the idea of it that I understood), I am certainly more interested in local LLM models and its interesting how they are utilizing new architectures to do some really impressive optimizations!

(Do note that I created it using a free rate limited end-point that I found on the huggingface space section: https://victor-chat-with-qwen3-8-flash-next.hf.space)

stymaar 15 hours ago|
> I think that Longcat was the first one who used it

Wasn't it introduced by Gemma?

cmrdporcupine 11 hours ago||
If you have a DGX Spark, try my Spark/SM12x specific inference engine.

I've got it (Qwen 3.8 flash next) working (sans ... MTP working on that now).

https://github.com/rdaum/eider/

~80tok/sec prefill, 12tok/sec decode, ~80GiB memory resident, the n-gram table pages from SSD.

loclol101 17 hours ago||
Definitely need to try this out locally.
KolmogorovComp 17 hours ago||
Will this be cheaper than DS4flash ?
christkv 17 hours ago|
Looks like a good model for strix halo
Iolaum 17 hours ago|
indeed, can't wait for it to be supported by llama.cpp (or other engines)?
More comments...