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English(EN) What's your favorite medium to large (~50-150b params) MOE model? Aside from Qwen flash next.

LLaMA subreddit用户讨论最喜欢的从中大型MoE模型

作者 PulseAugur 编辑部 · [1 个来源] ·

r/LocalLLaMA subreddit上的一位用户正在寻求中大型混合专家（MoE）模型的推荐，特别是那些参数量在500亿到1500亿之间的模型。虽然承认Qwen flash next的受欢迎程度，但用户对通用用途的替代品感兴趣，不优先考虑编码能力。有几个模型被提及为潜在候选者，包括GPT OSS 120b、Mistral 4 small 119b、Qwen 3.5 122b A10b和Ling 3.0 flash，用户正在征求关于其他模型或自定义变体的进一步建议。 AI

影响 提供了对开源LLM社区内用户偏好和新兴模型的见解。

排序理由 用户讨论模型偏好，而非主要发布或研究。

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 →

LLaMA subreddit用户讨论最喜欢的从中大型MoE模型

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
用户讨论模型偏好，而非主要发布或研究。
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
1 days old
Coverage has settled into its steady-state 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/FlyingFishMakeAWish ·

    What's your favorite medium to large (~50-150b params) MOE model? Aside from Qwen flash next.

    <!-- SC_OFF --><div class="md"><p>I recently got some more RAM on my desktop, which has opened up running larger MOEs by splitting them into RAM/VRAM. I know everyone loves Qwen flash next, but I'm curious what other ones are worth trying. </p> <p>On my list of to-try, I have:</p…

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