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Posted by erdaltoprak 10 hours ago

Qwen 3.8 27B(huggingface.co)
871 points | 571 commentspage 8
tosh 10 hours ago|
also cool: Qwen 3.8 27b is multi modal!
gurkwart 10 hours ago|
strong visual reasoning apparently, which is nice. still lacking native audio however. hoping for more companies to embrace the spirit of something like `gemma-4-12b-qat` for actual multi-modality (text, image, video, audio).
anana_ 10 hours ago||
Monstrous benchmarks! Hoping it is not benchmaxxed.
sheepscreek 5 hours ago|
I thought the same. But why claim something so shocking when it can easily be discredited and puts your reputation at risk? If they’re claiming Opus 4.6 level, I expect it to at least match Sonnet 4.6.
walrus01 3 hours ago||
Is it just me or is 3.6 27B Q8 K XL (Unsloth) holding up better in sustained token/s rate as the context fill increases over time? The token/s rate seems to be much higher for a time period deeper into context than previously seen.

At least as compared to 3.6 27B in the same quantization.

crazyemeraldcod 3 hours ago||
Its so smart!
filup 10 hours ago||
https://news.ycombinator.com/item?id=48403639

my prediction was way too far out. 4.6 at home! Woo.

pu_pe 10 hours ago||
Seems to be SOTA for its size. Hopefully independent benchmarks will come soon.
kunver 10 hours ago||
Welcome deepseek flash flash!
expedited123 10 hours ago||
Kinda was expecting to see Gemma 4 26B in benchmark comparisons :(
kamranjon 10 hours ago|
Since Qwen 3.6 27b outperforms Gemma 4 26b in most benchmarks I'm not sure the value - also Gemma 26b is a MOE model whereas this is a dense model, so not typically direct competitors at their sizes - Gemma 4 31b comparison would be interesting though.
expedited123 9 hours ago||
I see! Thanks.
brcmthrowaway 3 hours ago|
Is oMLX or MTPLX supported?
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