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BTC $76,808.83 -2.90%
ETH $2,289.65 -4.34%
BNB $624.22 -2.27%
XRP $1.39 -3.42%
SOL $84.15 -4.00%
TRX $0.3239 +0.05%
DOGE $0.0995 -0.67%
ADA $0.2473 -2.65%
BCH $447.52 -1.89%
LINK $9.27 -2.75%
HYPE $41.05 -5.09%
AAVE $97.04 -2.17%
SUI $0.9289 -2.93%
XLM $0.1650 -4.25%
ZEC $348.96 -2.74%

DeepSeek-V3.2-Exp model officially released and open-sourced

2025-09-29 18:12:55
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ChainCatcher message, the DeepSeek-V3.2-Exp model is officially released and open-sourced today. The model introduces a sparse Attention architecture, which can effectively reduce computational resource consumption and improve model inference efficiency. Currently, the model has been officially launched on Huawei Cloud's Model as a Service platform (MaaS). For the DeepSeek-V3.2-Exp model, Huawei Cloud continues to use the large EP parallel deployment scheme, implementing a long-sequence affinity context parallel strategy based on the sparse Attention structure, while also considering model latency and throughput performance.

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