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English(EN) DeepSeek V4.1 Flash Uncensored: what weight-level abliteration costs, and what we saw in testing

DeepSeek V4.1 Flash Uncensored 模型发布，移除了拒绝行为

作者 PulseAugur 编辑部 · [1 个来源] ·

dealignai 开发的 DeepSeek V4.1 Flash 的无审查版本已作为 FP8 检查点发布。此版本从模型权重中移除了拒绝行为，使其能够毫不犹豫地响应更广泛的提示。虽然无审查模型在 MMLU 基准测试中的性能略有下降，但它能够完全回答基础模型会拒绝的提示，特别是涉及道德或法律场景的提示。该模型可通过 LU Cloud 获取，LU Cloud 是 Locally Uncensored 桌面应用程序的可选托管服务。 AI

影响 此次发布提供了一个内容限制较少的模型，可能带来新的用例，但也引发了开发人员的安全考量。

排序理由 前沿实验室（DeepSeek）发布新模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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

DeepSeek V4.1 Flash Uncensored 模型发布，移除了拒绝行为

本文如何被排名

Signal score
50 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
前沿实验室（DeepSeek）发布新模型。[lever_c_demoted from frontier_release: 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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

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

    DeepSeek V4.1 Flash Uncensored: what weight-level abliteration costs, and what we saw in testing

    <p>DeepSeek V4.1 Flash Uncensored is DeepSeek V4.1 Flash with the refusal behavior removed in the weights, published by dealignai as an FP8 checkpoint. No system prompt trick, no runtime hook: it loads like the base model.</p> <p>I build Locally Uncensored, an open source desktop…

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