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Community launches open-weight LLM benchmark with live coding and agentic tests

By PulseAugur Editorial · [1 sources] ·

A new community-driven benchmark for open-weight language models has been launched, featuring live results for coding and agentic tasks. The benchmark, accessible at beta.locallm.top, aims to provide a comprehensive evaluation across various domains and model types. While DeepSeek-V4-Vision-Exp currently leads in some areas, the project acknowledges limitations such as incomplete coverage for newer models and a developing user interface. The creator is seeking community assistance for compute resources, evaluations, and development to expand the benchmark's capabilities. AI

IMPACT Provides a new platform for evaluating and comparing open-weight LLMs, potentially accelerating development and adoption.

RANK_REASON Community-driven benchmark release for open-weight models. [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 →

Community launches open-weight LLM benchmark with live coding and agentic tests

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Community-driven benchmark release for open-weight models. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. r/LocalLLaMA TIER_1 English(EN) · /u/EmilPi ·

    Just another purely open-weight models benchmark

    <!-- SC_OFF --><div class="md"><p>Live results, coding benchmarks included, agentic benchmarks included, domains and other classifications filters included. (Spoiler: DeepSeek-V4-Vision-Exp rules, but other models have their rule areas): <a href="https://beta.locallm.top">https:/…

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