REDDIT · REDDIT// 9d agoMODEL RELEASE

Qwopus 3.5-27B drops with reasoning distillation, Turbo Quant

Qwopus 3.5-27B is a reasoning-enhanced LLM distilled from Claude 4.6 Opus and built on the Qwen 3.5 architecture. Utilizing the Turbo Quant framework for extreme KV cache and model compression, it achieves significant perplexity reductions while remaining efficient enough to run reasoning-heavy tasks on consumer hardware like 16GB VRAM GPUs.

// ANALYSIS

Qwopus represents a paradigm shift in local LLM capability by successfully distilling top-tier proprietary logic into efficient, open-weight 27B parameters.

–Turbo Quant's TQ3_4S format enables a 4.0 bpw compression with near-zero accuracy loss, a breakthrough for local inference.
–Reasoning efficiency is improved with a ~25% reduction in reasoning length and cost per correct answer compared to the base Qwen 3.5.
–Distillation from Claude 4.6 Opus elevates HumanEval scores to 95.73%, outperforming the official Qwen baseline.
–The model's ability to run on 16GB cards like the 5060 Ti democratizes access to high-end reasoning for local developers.

// TAGS

llmreasoningopen-weightsquantizationturbo-quantqwenqwopus

DISCOVERED

9d ago

2026-04-02

PUBLISHED

9d ago

2026-04-02

RELEVANCE

9/ 10

AUTHOR

Imaginary-Anywhere23