Nous Research Releases Arete-27B Fine-Tuned Qwen Model
Arete-27B is a 27B open-weight model reducing propaganda answers from 22% to 0.9% on an 803-prompt eval.
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Arete-27B is a 27B open-weight model reducing propaganda answers from 22% to 0.9% on an 803-prompt eval.
The independent early preview, trending #30, refreshed Q4_K_M and Q8_0; full weights and the dataset follow after October 28.
The 1024 px checkpoint ships two 8-step turbo LoRAs and is presented as a drop-in for MOSS-Image-SFT.
nerkyor released a Qwen3.8-27B post-train that cuts 94K truncations and lifts GPQA, MMLU, and coding scores.

BottleCap AI released ThinkingCap-Qwen3.8-27B, cutting thinking tokens 37.2% with a 0.86-point accuracy drop.
DavidAU releases Qwen3.8-27B-TWIN-TURBO, an uncensored GGUF fine-tune claiming sharply reduced thinking tokens and self-reported benchmark gains.
UkisAI releases Swift-Qwen3.8-27B, a Qwen3.8-27B derivative using 58.3% fewer thinking tokens with <1% performance loss and ~1.95x speed-up.
Community fine-tune Minimax-h3_Singularity enhances MiniMax-H3 video generation with HDR quality, distant face restoration, and improved motion, trending #22 on Hugging Face.
A new Qwen3.8-27B GGUF fine-tune claims ARC-C 735 at 8-bit with thinking tokens cut 2x-10x versus the base model.
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