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VIDRAFT's Darwin-180B-RSI model tops 7 Hugging Face leaderboards

VIDRAFT has released Darwin-180B-RSI, a 180-billion-parameter reasoning model that utilizes a Recursive Self-Improvement (RSI) framework. This model has achieved top rankings on seven Hugging Face leaderboards, including legal reasoning benchmarks like LEXam and LEXam-hard, without being trained on legal data. The RSI approach involves the model solving problems, verifying correctness through automated checks, and then retraining on successful reasoning paths, allowing capabilities to generalize to new domains. The model is available on Hugging Face for public access and verification. AI

IMPACT Sets new SOTA on legal reasoning benchmarks, demonstrating cross-domain generalization via self-improvement.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on dev.to — LLM tag →

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

VIDRAFT's Darwin-180B-RSI model tops 7 Hugging Face leaderboards

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Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · AI OpenFree ·

    Darwin-180B-RSI: How VIDRAFT's Recursive Self-Improvement Model Topped 7 Hugging Face Leaderboards — Without Legal Training Data

    <h1> Darwin-180B-RSI: How VIDRAFT's Recursive Self-Improvement Model Topped 7 Hugging Face Leaderboards — Without Legal Training Data </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT's <code>Darwin-180B-RSI</code> is a 180-billion-parameter reasoning model trained via a Recu…

  2. dev.to — LLM tag TIER_1 English(EN) · AI OpenFree ·

    Darwin-180B-RSI: VIDRAFT's Recursive Self-Improvement MoE Model Claims Five Leaderboard Tops

    <h1> Darwin-180B-RSI: VIDRAFT's Recursive Self-Improvement MoE Model Claims Five Leaderboard Tops </h1> <blockquote> <p><strong>TL;DR:</strong> VIDRAFT, a Korean Pre-AGI AI startup, has released Darwin-180B-RSI — a 180-billion-parameter mixture-of-experts reasoning model built on…