English(EN) Ignoring benchmarks, how do the newest local models (gemma 4 31B, 26BA4B, Qwen 3.6) “feel” to you? What do you think they compare to?

本地AI模型：超越基准的用户体验

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 11:55

r/LocalLLaMA subreddit 的用户正在讨论新本地AI模型的主观性能，超越了传统的基准测试。参与者正在分享他们对 Gemma 4 31B 和 Qwen 3.6 等模型的个人体验，尤其是在创意写作任务方面。一些用户认为 Gemma 4 31B 在散文方面比 GPT-4.5 有所改进，但注意到其在长上下文记忆方面的局限性，而 Qwen 3.6 则因其编码和代理能力而受到关注。 AI

影响提供用户对当前本地模型的看法，为AI运营商提供定性见解。

排序理由用户对现有模型的讨论和主观意见，而非新发布或基准测试。

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 →

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: Commentary; 用户对现有模型的讨论和主观意见，而非新发布或基准测试。
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, opinion; 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: 127 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]

r/LocalLLaMA TIER_1 English(EN) · /u/opoot_ · 2026-06-02 11:55

忽略基准测试，你觉得最新的本地模型（gemma 4 31B、26BA4B、Qwen 3.6）“感觉”如何？你认为它们与什么相比？

<div class="md"><p>I use local ai mainly for creative writing, and benchmarks are a bit iffy on that I feel like. I’d like to compare Gemma mainly to Gemini as I like their writing the best, I do know that qwen 3.6 is amazing but mostly for coding and agentic work.…

本文如何被排名

报道来源 [1]

忽略基准测试，你觉得最新的本地模型（gemma 4 31B、26BA4B、Qwen 3.6）“感觉”如何？你认为它们与什么相比？

相关实体

相关话题