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English(EN) I benchmarked IFM/K2-Horizon-7B on 16GB VRAM

IFM/K2-Horizon-7B模型在16GB显存上进行基准测试,落后于竞争对手

一位用户在拥有16GB显存的系统上对IFM/K2-Horizon-7B模型进行了基准测试,发现其性能远不如Qwen3.8-27B和Ornith-1.5-9B。尽管模型完全装入16GB显存,K2-Horizon-7B模型仍表现不佳,多项任务超时,一项任务导致代码损坏。基准测试表明,Qwen3.8-27B是最佳性能模型,即使量化不那么理想,而Ornith-1.5-9B则提供了速度和可用性的良好平衡。 AI

影响 突出了小型模型在消费级硬件上的性能限制,并强化了更大、更成熟模型的优势。

排序理由 用户对特定模型在有限硬件上性能的基准测试。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

IFM/K2-Horizon-7B模型在16GB显存上进行基准测试,落后于竞争对手

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Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
用户对特定模型在有限硬件上性能的基准测试。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
model release
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完整方法见我们的编辑标准

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Barni275 ·

    我在16GB显存上对IFM/K2-Horizon-7B进行了基准测试

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wha6sv/i_benchmarked_ifmk2horizon7b_on_16gb_vram/"> <img alt="I benchmarked IFM/K2-Horizon-7B on 16GB VRAM" src="https://preview.redd.it/d3t4h03pdqph1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=b127a0f2…