Alibaba / Qwen 公司 14 个相关事件
今天
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有限来源
Qwen dev says not to wait for 35B-A3B
What does this mean? Is there something else coming? Maybe 122B? Or no models? submitted by /u/Mean-Ad1493 [link] [comments]
Reddit r/LocalLLaMA -
有限来源
用 Q4 量化的 Qwen 3.8 两条提示词做出这款游戏，太强了译
This took one prompt to build, and another follow up prompt to fix two issues (player got stuck with the bomb and broken enemies path-finding), this is only html, css and js, no external assets, all…
Reddit r/LocalLLaMA 昨天
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有限来源
Qwen 3.8 27B 在 Artificial Analysis 智能指数拿下 52 分译
Qwen 3.8 27B scores 52 on the Artificial Analysis Intelligence Index That's the same score as GPT-5.6 Luna (max), and just one point behind GLM-5.2 (max) and DeepSeek V4 Pro 0813 (max) - that GLM is…
Simon Willison's Weblog -
有限来源
Qwen 3.8 蒸馏版本译
Artificial analysis index scores Qwen 3.5 27b: 35 Qwen 3.6 27b: 38 Qwen 3.8 27b: 52 What the hell kind of a jump was that? Even if it is benchmaxxed, the jump is insane. Qwen3.6 35b A3b: 32 That's ~6…
Reddit r/LocalLLaMA -
有限来源
Qwen 3.8 35B 与 122B——我们不停盼模型、等模型、求模型，但怎样才能真正给实验室做它的动力？译
So many comments begging for these models, and I get it. People from the labs frequent r/LocalLLaMA , so maybe the begging comments aren't useless. They make demand known at least. Same with polls, e…
Reddit r/LocalLLaMA -
有限来源开源Agent · 编程
本地 Agentic 编程评测：Qwen 3.8 27B（多种权重量化/缓存量化/引擎/推理档位）对比其他模型译
In medium reasoning mode, it both scores higher than the 3.6 version, AND is very much more efficient (almost half requests needed, and a third less tokens generated) - at DeepSeek v4 Flash 3107 MXFP…
Reddit r/LocalLLaMA -
有限来源
「Opus 4.8 想太多」「Muse Glimmer 卡在 Gemma 和 Qwen 之间很无聊」「Gemma 4 太懒」译
I'm starting to think there's no way to make a reasoning model that won't draw persistent vocal complaints on here. EDIT: Qwen 3.8 not Opus 4.8*, freudian slip lol submitted by /u/MerePotato [link] […
Reddit r/LocalLLaMA -
有限来源
Qwen 3.8 27B 实测：能力突出，但默认推理可能过度
Yes, it sucks to waste time waiting on 16K+ reasoning tokens alone. But here's the thing, this is only a 27B model trying to perform on par with 1T+ parameter models. Something has to be sacrificed,…
Simon Willison's Weblog · Reddit r/LocalLLaMA -
有限来源Agent · 编程
跑完 100 万+ token 后：Qwen 3.8 27B 在 16GB 显存下的最优 llama.cpp 配置（73k 上下文、Agentic 编程）译
Following up on my previous post about my budget server setup (Intel N100 + RTX 5060 Ti 16GB), a few of you asked for a deeper dive into my actual inference config and real-world agentic performance.…
Reddit r/LocalLLaMA -
有限来源硬件 · 算力
价值 100 美元的 GPU 跑 Qwen 3.8 27B 达 7.39 t/s译
Qwen 27b Q3_K_M 2x rx 580 8gb (~50$ each in my country, edge cases 60$ per gpu) gives us 16gb vram We used it on an old already existing ddr3 motherboard with 2 gpu slots(you can buy it ror around 20…
Reddit r/LocalLLaMA -
有限来源开源
[主题楼] Qwen 3.8 27B 发布日译
Megathread to help with the influx of duplicate / similar posts around the release of the Qwen 3.8 27B release. Quants Fine-Tunes & Abliterations Chat Templates Inference Server Support & Configurati…
Reddit r/LocalLLaMA -
有限来源商业动态
长评：Qwen 3.8 27B 极擅长调用真实世界知识，「过度思考」让它达到 Sonnet 级表现，甚至有 Opus 级潜力译
Hi all! I finally just got around to testing out Qwen 3.8 27b. I'm using Unsloth's UD-Q8_K_XL quant as a sit-in replacement to Qwen 3.6 27b, same quant size. Wow -- this thing isn't messing around. I…
Reddit r/LocalLLaMA 8月16日 · 周日
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有限来源
Qwen 3.8 27B 对比 3.6 27B——Turtle 绘图库表现如何译
Prompt: Provide complete working code for a realistic looking tree in Python using the Turtle graphics library and a recursive algorithm. Difference between 3.6 and 3.8 is huge! submitted by /u/Healt…
Reddit r/LocalLLaMA 8月14日 · 周五
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有限来源商业动态
Apple 在 Alibaba 协助下为中国市场训练自研 AI 模型译
The rare US-China partnership comes as Apple prepares to roll out its on-device generative AI service in China. The rare US-China partnership comes as Apple prepares to roll out its on-device generat…
The Verge AI