Devye (@XDevye) header
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本地大模型 | AIGC爱好者 拥有💻4*dgx Spark + 2*R9700 + RTX 5090 + Pro2000 本地LLM搭配 智能:Deepseek v4.1 Flash 1017 速度:Qwen3.8 27B 生图:Qwen Image 2.1

Joined April 2025
Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)Photo by Devye (@XDevye)
Opus5.5真的应该改名叫Opus6
卧槽!GPT-6.2 Sol 这把是真能赢 Opus 5.5 啊! 一个国外的老哥拿同样的提示词测试,对比如下: - GPT-6.2 Sol:耗时大约 20 分钟,成本 9 美元。 - Opus 5.5:耗时 1 小时,成本 20 美元。 Opus 5.5 整体还是很优秀,但 GPT-6.2 Sol 处理了更多优于 Opus 的细节,关键是它更快、也更便宜。
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设计相关的任务,只有Opus5.5符合我的要求,基本不需要返工。GPT6审美不行,DeepSeek属于幻觉严重,连最基本的居中和对齐都做不好。
DeepSeek V4.1 Flash 1017 做 AppKit 的 app 简直是灾难
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我也正在准备着手开发一个本地模型友好的Harness,没想到@MiaAI_lab提前一步发布了他的Harness, 期待中
Although local-first, you will be able to use any cloud provider. That includes Claude and Codex subscriptions, not just API!
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GPT也不让用了吗?
算力匮乏焦虑症 ​在想要不要咬咬牙买自费两个 b300 机柜了… ​买了真破产了🙃 公司不给资源…自己盘了下存款,全部家当就够两台。好心累。。。。。
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这就是我为什么会买2台R9700的原因
Inference engine built in rust currently targeting AMD R9700 GPU's. @AIatAMD #AMD #R9700 #LocalAI #LocalLLM github.com/GGZ14/saber-engin…
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北冥有鱼,其名为〔鸽子王〕
Qwen4 鸽子王 我要睡觉了,它发布了,大佬们给我留言哈,熬不住了
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以后不要再熬夜等任何大模型发布了,真的是够够了🤡
大半夜的,所有人都知道他们要发模型了!! 但他们就是不发🤡🤡🤡 一直发些无聊的东西 我们熬夜是要看这个的么😡
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看来今晚等不到Qwen4了,我先洗洗睡了😪
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什么意思?难道DeepSeek要收购Qwen?
北冥有鱼,其名为___。
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看来5090还有存货 #RTXON
We're giving away a Hogwarts Legacy custom wrapped NVIDIA GeForce RTX 5090 to celebrate its official release with DLSS 5 🪄 To enter: 🟢 Share this post 🟢 Comment #RTXON Terms and Conditions: nvidia.com/en-us/geforce/con…
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国外的朋友可能还不知道在阿里周六也属于下周范围呢
Qwen4公開は来週って言ってて金曜日まで出なかったんだ‼️Qwen4は明日だな‼️間違いない‼️
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Ant最近投放的Ad有点多呀
Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters. Stronger complex visual understanding, long-horizon multimodal agents, 3D understanding & interaction, and medical intelligence. Outscores Opus 5 (max) in release evaluations: - OmniDocBench1.5: 92.21 vs 90.56 - ZEROBench(Sub): 43.71 vs 39.52 - Vision2Web: 85.86 vs 80.20
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Opus5.5级别的本地智能要来了
Qwhen? Qsoon! For our friends outside China, the Chinese text in the poster comes from Zhuangzi, an ancient Chinese classic: "Far in the northern sea lives a fish named Kun (pronounced like Qwen). So immense is its size that no one knows how many thousands of miles it spans."
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真正普惠的大模型,Small and Fast
A browser tab. A local AI. Spark-X2.6-1.7B runs on WebGPU: ~105 tok/s, 1.21 GB download. Author tests: RTX 3090 Ti, Windows 11/Chrome, thinking off. 49 ms first token is for a 28-token prompt. Built by @mohdmahmodi. Original charts attached.
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Qwen应该即将发布了
Introducing Ling-3.2-flash, Ant Ling's native multimodal model: 560B total / 25B active parameters. Stronger complex visual understanding, long-horizon multimodal agents, 3D understanding & interaction, and medical intelligence. Outscores Opus 5 (max) in release evaluations: - OmniDocBench1.5: 92.21 vs 90.56 - ZEROBench(Sub): 43.71 vs 39.52 - Vision2Web: 85.86 vs 80.20
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qwen38fn完全出乎意料
Today we're open-sourcing GlobeBench, 1,632 tasks that test whether LLMs can simulate RL environments well enough to train agents on. The top model, GPT-6 Astra, gets 49.6% right. No other model of the 20 we tested reaches 30%. 🧵
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开源吗?
👋Hy4 is here, new with vision. Firmly among the leading open models. More productive everywhere: finance, frontend, game, officework, research… Built responsibly, with cyber/biosecurity in mind. Try it out and let us know! 🔗:hy.tencent.ai/research/hy4?l…
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新一轮大模型竞赛开始!
Introducing GPT‑6 Cyber: a major advance in security research that pairs stronger capabilities with better model alignment. The model powered the Linux kernel research we announced yesterday, and security teams at companies like Mozilla, Palo Alto Networks, Calif, and Cisco—alongside our own at OpenAI—are already putting it to work. GPT-6 Cyber is available to select Daybreak Red customers and we are expanding access over time. openai.com/index/introducing…
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