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BTC $62,930.75 +0.03%
ETH $1,877.84 +0.06%
BNB $606.29 -0.74%
XRP $0.9990 -0.23%
SOL $75.20 +0.03%
TRX $0.3315 +0.25%
DOGE $0.0697 -0.21%
ADA $0.1764 -1.07%
BCH $203.77 -0.18%
LINK $9.35 -0.68%
HYPE $57.22 +2.19%
AAVE $85.82 -0.57%
SUI $0.6764 -0.71%
XLM $0.1569 -0.60%
ZEC $484.69 -1.12%

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

2025-09-29 18:12:55

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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