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BTC $60,627.89 -0.56%
ETH $1,556.41 -2.79%
BNB $573.14 -0.82%
XRP $1.09 -1.21%
SOL $61.56 -5.16%
TRX $0.3216 -0.04%
DOGE $0.0810 -1.68%
ADA $0.1583 -0.68%
BCH $216.13 -0.26%
LINK $7.35 +0.01%
HYPE $58.31 -1.14%
AAVE $60.24 -3.78%
SUI $0.7139 +1.33%
XLM $0.2120 +11.77%
ZEC $353.95 +5.27%

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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