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English(EN) LFM3-1.7b seems impressive

LFM3 1.7b 模型因其令人印象深刻的速度和连贯性而受到赞扬

作者 PulseAugur 编辑部 · [2 个来源] ·

LFM3 1.7b 模型因其在体积小的情况下表现出乎意料的强大能力而受到赞扬。用户注意到其速度惊人，一项基准测试显示在支持 CUDA 的 GPU 上每秒可处理超过 20,000 个 token。该模型还表现出卓越的连贯性，即使在高达 64k token 的大提示下也能保持，超出了人们对一个 17 亿参数模型的预期。 AI

影响 证明了小型高效模型可以实现高性能，这可能降低本地部署 AI 的门槛。

排序理由 用户对小型语言模型的评价。

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LFM3 1.7b 模型因其令人印象深刻的速度和连贯性而受到赞扬

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户对小型语言模型的评价。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
7 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Repulsive_Initial308 ·

    LFM3 1.7b - 相当不错

    <!-- SC_OFF --><div class="md"><p>I finally got around to trying it. This tiny model is surprisingly capable it seems. Also tried the 2b VL - also very good but it has half the context of 1.7b.</p> <p>It's also quite fast:</p> <pre><code>$ llama-bench -m LFM3-1.7B-Q8_0.gguf -fa 1…

  2. r/LocalLLaMA TIER_1 English(EN) · /u/mumblerit ·

    LFM3-1.7b 看起来令人印象深刻

    <!-- SC_OFF --><div class="md"><p>Been testing Liquid's LFM3-1.7B (Q8_0 GGUF, llama.cpp, ROCm) as a candidate for compression and summarization work</p> <p>4.1k t/s prefill and ~78 t/s decode on a Strix Halo iGPU</p> <p>~7.1k / ~151 if you tensor-split it across a 7900 XTX + XT</…

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