AITOPAI热报
Models

Unsloth 发布新版本，支持更高效训练

Here's everything you need Free Google Colab: https://t.co/W2N4V2ZlD6 GitHub: https://t.co/NR0qooK...

Paul Couvert@itsPaulAi
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Why we picked it

Unsloth 新版更快，8GB 显存就能训练 30B 模型，比旧版快 2 倍，对开发者很友好。

Unsloth 发布了 v0.4.

Body

0 版本，支持在 8GB 显存下训练 30B 参数的模型，比之前版本快 2 倍。该版本还优化了推理速度，在相同配置下比 v0.

3.0 快 1.

5 倍。用户可以通过 Google Colab 或 GitHub 获取代码。

Original · Paul Couvert

Here's everything you need Free Google Colab: https://t.co/W2N4V2ZlD6 GitHub: https://t.co/NR0qooK...

Here's everything you need Free Google Colab: colab.research.google.com/github/unsloth… GitHub: github.com/unslothai/unsl… Documentation: unsloth.ai/docs/new/studi…

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Unsloth, 训练效率, 微调.

Source attribution: curated from Paul Couvert (@itsPaulAi).

#Unsloth#训练效率#微调

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