meng shao (@shao__meng) “Qwen3.8-27B 开源了 ⚡ 相比 Qwen3.8 Max，27B 开源更值得特别关注！ Qwen3.8-27B 是” — TopicDigg
meng shao
@shao__meng
加入 November 2023
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Qwen3.8-27B 开源了 ⚡
相比 Qwen3.8 Max，27B 开源更值得特别关注！
Qwen3.8-27B 是原生多模态稠密模型，表现整体超过 Qwen3.7-Plus，在真实编程与办公流程上更突出。
既然是 27B，就得好好看看部署环境要求了，兼容 vLLM / SGLang / TokenSpeed，另有官方 FP8。社区已有 GGUF / Unsloth 等量化。
这里推荐 @UnslothAI 的量化方案，17GB RAM 可跑：
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We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face：
- ModelScope：
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