English(EN) A high-performance 125B model now running locally on just 75GB RAM! Thank you @UnslothAI for the day-0 support.🥳

Alibaba的Qwen3.8-Flash模型可在75GB内存上本地运行，性能超越Claude Opus-4.6

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 16:10

Alibaba的Qwen团队发布了Qwen3.8-Flash，这是一个拥有125B参数的模型，可以在75GB内存上本地运行。据报道，这个新模型在某些指标上优于Claude Opus-4.6。通过Unsloth GGUFs实现的优化，即使在CPU内存或统一内存设置下也能达到接近VRAM的速度。 AI

影响使得在消费级硬件上部署高性能LLM成为可能，从而可能降低高级AI应用的入门门槛。

排序理由前沿实验室模型发布，并附有性能声明。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

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: 18 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 前沿实验室模型发布，并附有性能声明。[lever_c_demoted from frontier_release: 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: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

X — Qwen (Alibaba) TIER_1 English(EN) · Alibaba_Qwen · 2026-08-26 16:10

一款高性能125B模型现在可在仅75GB内存上本地运行！感谢@UnslothAI提供首日支持。🥳

A high-performance 125B model now running locally on just 75GB RAM! Thank you @UnslothAI for the day-0 support.🥳