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Qwen3.5-9B model enhanced with experimental triple-loop architecture

By PulseAugur Editorial · [1 sources] ·

A user has developed a "triple-loop" model architecture, inspired by the Nanbeige 4.5, and applied it to Qwen3.5-9B. This experimental model, trained using distilled logits from Qwen3.8-27B, shows significant improvements in math, long-context tasks, and instruction-following compared to the base Qwen3.5-9B. However, the training was cut short due to resource limitations, resulting in a plateau in performance and a slight decrease in reasoning and translation capabilities. The user believes further gains are possible with a complete training schedule and proper learning rate decay. AI

IMPACT Demonstrates potential for architectural innovations to improve existing models, though further validation is needed.

RANK_REASON User-developed model architecture applied to an existing base model, with performance evaluations. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.5-9B model enhanced with experimental triple-loop architecture

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0 / 100
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User-developed model architecture applied to an existing base model, with performance evaluations. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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High
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45 days old
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 Nederlands(NL) · /u/Important-Farmer-846 ·

    Qwen3.5-9B Triple-Loop

    <!-- SC_OFF --><div class="md"><p>I was fascinated by Nanbeige's outstanding performance for its size, so I started digging into how much a model can improve its own representation just by looping over itself (for fun). My prototype was a Qwen3-0.6B with a full dual loop in the m…

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