Model Releases
Swift 1.5 Qwen3.8 27b (A must-have for low thinking!)
Just made this post for those who missed it : https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b UkisAI released their updated Qwen 27B (tuned for token efficiency). I grabbed the IQ4_XS quant to tes
Just made this post for those who missed it : https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b UkisAI released their updated Qwen 27B (tuned for token efficiency). I grabbed the IQ4_XS quant to test against Unsloth's Q4_K_S: Low-thinking: UkisAI consistently beat Unsloth in most of my tests. High-thinking: Unsloth still pulled ahead here. I was struggling with a custom script in Directory Opus. I gave it to Gemini Flash (medium thinking on Antigravity free tier) it looped for 40 minutes, tried many things, burnt all the weekly limit-tokens, and failed to solve it. Fed the exact same problem to this 27B model: Fixed it completely in 6 minutes on an old 3090 (67 t/s) Honestly i was kinda impressed, didn't expect an IQ4_XS quant of a 27B model in low thinking to beat a major cloud model. submitted by /u/MomentJolly3535 [link] [comments]
Related
- Thank you :) Swift Qwen 3.8 27B now has 100k+ downloads, is #1 finetune and #9 model on HuggingFace Trending
- UkisAI Swift-Qwen3.8-27B / -58.3% thinking, x1.95 speed while keeping the accuracy of xhigh
- Question: UkisAI Swift Ternary Bonsai 2 27B?
- UkisAI Swift Series / 27B, Flash Next and Bonsai 2 + GSQ-RCO / -63.4% thinking, x1.95 speed with xhigh accuracy
Source: r/LocalLLaMA | 2026-09-27