Italiano(IT) Update : Small model + Engram

开发者发布新型20亿参数AI模型'Engram'，采用新颖的token概率表

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 12:02

一位开发者创建了一个名为Engram的20亿参数新模型，该模型利用了一个10亿参数的Engram表来增强token概率。尽管仅在1500万token上进行训练，该模型却展现出惊人的连贯性，避免了早期模型常见的重复问题。这位开发者曾在Anthropic从事机器学习和红队工作，他计划以Apache 2.0许可证发布该模型供社区使用，并指出其可在24GB显存上进行训练。 AI

影响提供了一种小型模型训练的新颖方法，可能促进更易于访问的AI开发。

排序理由开发者发布了一个新颖的、参数量小且具有独特架构组件的AI模型。[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 →

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 开发者发布了一个新颖的、参数量小且具有独特架构组件的AI模型。[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, 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: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

r/LocalLLaMA TIER_1 Italiano(IT) · /u/NineThreeTilNow · 2026-09-17 12:02

更新：小型模型 + Engram

<div class="md"><p>I posted something about a 9b model a few days ago.</p> <p>The real problem was 2 fold. Someone suggested the size was too big to prove it all out. It's a fair argument. I needed the model depth though. The second problem was the "ability&qu…

本文如何被排名

报道来源 [1]

更新：小型模型 + Engram

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