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Memdoor: Five Qwen3.8-27B models outperform Fable 5 on LiveCodeBench Hard

A new system called Memdoor utilizes a team of five Qwen3.8-27B models to achieve a superior performance on the LiveCodeBench Hard benchmark, surpassing the capabilities of Fable 5. This collaborative approach, where multiple models work together, has demonstrated a new method for tackling complex coding tasks. The project's details are available on GitHub, showcasing the architecture and implementation of this multi-model team. AI

IMPACT Demonstrates a novel approach to AI problem-solving through multi-model collaboration, potentially influencing future AI system architectures.

RANK_REASON The cluster reports on a new benchmark result achieved by a team of models, which is a research-oriented outcome.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Memdoor: Five Qwen3.8-27B models outperform Fable 5 on LiveCodeBench Hard

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The cluster reports on a new benchmark result achieved by a team of models, which is a research-oriented outcome.
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model release, product
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COVERAGE [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/PferdOne ·

    Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard

    &#32; submitted by &#32; <a href="https://www.reddit.com/user/PferdOne"> /u/PferdOne </a> <br /> <span><a href="https://github.com/guregodevo/memdoor/tree/main/examples/workflows/team-solve">[link]</a></span> &#32; <span><a href="https://www.reddit.com/r/LocalLLaMA/comments/1xkxt…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard Article URL: https:// github.com/guregodevo/memdoor/ tree/main/examples/workflows/te

    Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard Article URL: https:// github.com/guregodevo/memdoor/ tree/main/examples/workflows/team-solve Comments URL: https:// news.ycombinator.com/item?id=5 0320995 Points: 10 # Comments: 1 https:// github.com/gure…