It really just needs some encouragement (Qwen3.8-27B-UD-IQ4_XS)
I know I am probably missing the point of this benchmark, but I wanted to see if the model is capable of generating something better or is that the best it can do.
Proof1 community thread
Key points
- So I gave it some encouragement.
- I find this with development on small models too.
- Model's are lazy just like us.
- And it only took about 2 minutes to generate the image on the left.
Sources (1)
- [1]It really just needs some encouragement (Qwen3.8-27B-UD-IQ4_XS)r/LocalLLaMA (top, daily) · Oct 16, 02:44 PM
I know I am probably missing the point of this benchmark, but I wanted to see if the model is capable of generating something better or is that the best it can do.
So I gave it some encouragement.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 15, 2026capy-flash: Qwen3.8-Flash-Next (125B MoE) in full NVFP4 on two 16 GB consumer GPUs
- Oct 15, 2026QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releases
- Oct 15, 2026I tested Qwen3.8 27B KLD for 21 Models at 9 different KV quants that fit on 16GB VRAM (189 benchmarks).
- Oct 15, 2026Chicken-coop shed AI PC
- Oct 14, 2026Tessera-27B-B-CJK, Zellige AIs new finetune of Qwen with novel approaches to how we think about token savings
- Oct 14, 2026New model from Telperion: Qwen3.8-27B-MLA & Qwen3.8-27B-GLA-g2. 4x smaller KV cache, smarter, and more efficient reasoning.
