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FuturixAI releases open-source CARVE model family for structured AI inference

By PulseAugur Editorial · [1 sources] ·

FuturixAI has released CARVE, an open-source model family designed for structured inference, built upon Qwen3.8-27B and licensed under Apache 2.0. This model family aims to generate structured JSON outputs that can be parsed into typed data, offering an alternative to approaches like Jev that directly score options. CARVE achieved 82.22% accuracy on the Decision 1.0 transfer-v9 benchmark, with reported latencies of 72.5 ms p50 and 91.0 ms p95 on specific NVIDIA hardware. AI

IMPACT Provides an open-source alternative for structured AI inference, potentially enabling new applications and research.

RANK_REASON Release of an open-source model family with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

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

FuturixAI releases open-source CARVE model family for structured AI inference

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Release of an open-source model family with benchmark results. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    Introducing CARVE: An Open-Source Jev-Like Model Family

    <p>Making Jev-like structured inference simpler, openly.</p> <p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Far…

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