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实时 05:04:43
English(EN) Qwen 3.8 27b (Q4KM) oneshot a Super Mario clone

Qwen 3.8-27B 模型通过一次性提示生成超级马里奥克隆版

一位Reddit用户展示了Qwen 3.8-27B模型的能力,让它通过一次性提示生成了一个完整的超级马里奥克隆版。该模型使用了Q4KM量化和64k上下文窗口,成功创建了一个独立的HTML游戏文件。这一令人印象深刻的壮举是在配备4070ti GPU的Windows PC上完成的,耗时约117分钟,模型平均处理速度为每秒7.6个token。 AI

影响 展示了大型语言模型通过简单提示创建复杂应用程序的先进代码生成能力。

排序理由 展示特定模型在复杂任务上的能力。[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 →

Qwen 3.8-27B 模型通过一次性提示生成超级马里奥克隆版

本文如何被排名

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
展示特定模型在复杂任务上的能力。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

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/zannix ·

    Qwen 3.8 27b (Q4KM) 一次性克隆Super Mario

    <!-- SC_OFF --><div class="md"><p>I am absolutely blown away. Yes my setup is crap but the fact that it managed to do this in a single take is unbelievable (and I'm a developer).</p> <p>Hardware used:<br /> - Windows PC with 4070ti (12GB VRAM, 32GB RAM)<br /> - Macbook M5 Air (LL…