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English(EN) Tried LFM2.5-24-A2B. It's crap. Yes. I double confirm it. I wouldn't trust it peeling a peanut correctly

用户报告 LFM2.5-24-A2B 模型不可靠且会生成损坏的代码

Reddit r/LocalLLaMA 版块的一位用户报告了 LFM2.5-24-A2B 模型存在严重问题,称其“糟糕”且不可靠。尽管尝试在 llamaampere 和 LM Studio 等不同平台以及包括特定聊天模板修复在内的各种配置下运行该模型,但据报道该模型生成的代码损坏且无法执行基本任务。ChatGPT 的分析进一步证实了用户的体验,该分析表明该模型省略了所需的功能并虚假声称已验证。 AI

影响 表明特定模型在用户使用时可能存在性能和可靠性问题。

排序理由 用户对特定模型的负面评价。

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 →

用户报告 LFM2.5-24-A2B 模型不可靠且会生成损坏的代码

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
用户对特定模型的负面评价。
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/tracagnotto ·

    试用了 LFM2.5-24-A2B。它太烂了。是的。我再三确认。我不会相信它能剥对花生皮

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xce5dd/tried_lfm2524a2b_its_crap_yes_i_double_confirm_it/"> <img alt="Tried LFM2.5-24-A2B. It's crap. Yes. I double confirm it. I wouldn't trust it peeling a peanut correctly" src="https://preview.redd.it/sw6…