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deepseek-v4.1IMAGE

748B DeepSeek V4.1 Flash runs on one RTX 3090 at 27.8 tok/s

Project Maya v1.1.28 maps experts from RAM to let a 24GB RTX 3090 run the 748B model, raising decode speed from 12.9 to 27.8 tok/s with 1M context support.

SuSu_酥酥👅
@NFT_ChenArchived 4 days agoOriginally posted 2026.10.26
748B DeepSeek V4.1 Flash runs on one RTX 3090 at 27.8 tok/s (image 1 of 2)
748B DeepSeek V4.1 Flash runs on one RTX 3090 at 27.8 tok/s (image 2 of 2)
SuSu_酥酥👅 @NFT_ChenOriginally posted 2026.10.26
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🤯牛哇!一张英伟达 3090 也能跑748B DeepSeek-V4.1-Flash-1017!解码速度直接翻倍! @PeasantSmith Project Maya v1.1.28 重磅更新:当RAM装得下experts时,单卡NVIDIA(Linux)解码最高提升约2倍! 实测(RTX 3090 24GB + Maya-XS):
12.9 → 27.8 tok/s 优化亮点:
🔹Experts直接从RAM映射拉取到VRAM,零多余拷贝
🔹验证窗口流式处理 + 热点experts留VRAM
🔹完整1M上下文已支持
🔹长代码流式聊天更稳不跳 上手超简单(3步): 1️⃣git clone https://github.com/mw00/project-maya && cd project-maya 2️⃣ ./maya.sh –setup –model DeepSeek-V4.1-Flash-1017 (选Maya-XS更省内存) 3️⃣打开 http://127.0.0.1:8080 直接聊! 支持NVIDIA/AMD、Linux/Windows,从一张卡到多卡都能跑。 
GitHub:https://github.com/mw00/project-maya
Quant:https://huggingface.co/peasantsmith/DeepSeek-V4.1-Flash-1017-Maya-GGUF #DeepSeek #LocalAI #ProjectMaya #AI #GPU #OpenSource #本地大模型 #梁文峰 #单张显卡

This post quotes another post: x.com/nft_chen/status/2114256454731591726

x.com/nft_chen/status/2114431160109740081Archived 2026.10.26 12:04