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English(EN) Gemma-4-Harmonia-31B-Uncensored-Heretic Is Out Now, a Merge of Multiple gemma-4-31B-it Finetunes Designed for a Targeted Approach to Deep Neural Consolidation, Minimizing Regression While Amplifying Unique Capability Boundaries. With KLD 0.0047 and 9/100 Refusals!

Gemma-4-Harmonia-31B-Uncensored-Heretic模型发布

作者 PulseAugur 编辑部 · [1 个来源] ·

一款新的微调模型Gemma-4-Harmonia-31B-Uncensored-Heretic已发布。该模型是多个Gemma-4-31B-it微调模型的合并，旨在实现深度神经巩固，最大限度地减少回归并放大独特的能力。它提供Safetensors和GGUF格式，并附带了基准测试结果。 AI

影响 为从事开源LLM研究和开发的个人提供了一个新选择。

排序理由 这是一个微调的开源模型发布，而非主要实验室的前沿模型发布。[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 →

Gemma-4-Harmonia-31B-Uncensored-Heretic模型发布

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
这是一个微调的开源模型发布，而非主要实验室的前沿模型发布。[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
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
138 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 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/LLMFan46 ·

    Gemma-4-Harmonia-31B-Uncensored-Heretic 现已发布，融合了多个 gemma-4-31B-it 微调模型，旨在以目标导向的方式实现深度神经网络整合，最大限度地减少回归，同时放大独特能力边界。KLD 为 0.0047，拒绝率为 9/100！

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tpp2vp/gemma4harmonia31buncensoredheretic_is_out_now_a/"> <img alt="Gemma-4-Harmonia-31B-Uncensored-Heretic Is Out Now, a Merge of Multiple gemma-4-31B-it Finetunes Designed for a Targeted Approach to Deep Ne…

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