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English(EN) How to Run NVIDIA Nemotron Dory 4B Locally (Stock llama.cpp Can't Load It Yet)

NVIDIA Nemotron Dory 4B 模型展现出强大的编码性能

NVIDIA 发布了其新的 4B 参数模型 Nemotron Dory 4B,该模型在编码和智能体任务上表现出强大的性能,在 SWE-bench 基准测试中超越了 Qwen3.5-9B 等更大的模型。该模型采用独特的循环递归块架构,使其能够通过多个层处理 token,这显著增强了其进行复杂推理和指令遵循的能力。尽管性能令人印象深刻,但像 llama.cpp、vLLM 和 Transformers 等流行的 LLM 框架尚未广泛支持 Dory 4B,不过 llama.cpp 有一个 PR 构建可用。 AI

影响 为小型模型在编码任务上设定了新的基准,可能影响未来小型模型和智能体 AI 的发展。

排序理由 Frontier-lab 模型发布,附带系统卡和基准数据。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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NVIDIA Nemotron Dory 4B 模型展现出强大的编码性能

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Frontier-lab 模型发布,附带系统卡和基准数据。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
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  1. dev.to — LLM tag TIER_1 English(EN) · Alan West ·

    如何在本地运行 NVIDIA Nemotron Dory 4B (Stock llama.cpp 尚无法加载它)

    <p>NVIDIA's new 4B model scores 61.8 on SWE-bench Verified by NVIDIA's own count. That's higher than the 61 it lists for Qwen3.5-9B, a model more than twice its size. It also gets 10 on a knowledge benchmark where Qwen3.5-4B gets 15. And as of today, October 18, you can't run it …