inference/research
verifiedhigh · 0.92updated 2026-10-03

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

paper

Fields

id
sources/arch-deepseek-v32-dsa
Publisher
DeepSeek-AI (arXiv)
Kind
paper
Published
2025-12-02
Accessed
2026-10-03
notes
DSA = lightning indexer + fine-grained token selection. Index score is a ReLU-based dot product of q and w (ReLU 'for throughput consideration'); the indexer 'has a small number of heads and can be implemented in FP8'. Only the top-2048 key-value entries are attended per query. DSA is instantiated on the MQA mode of MLA because 'each key-value entry must be shared across multiple queries for computational efficiency'. The indexer is trained separately with a KL loss, detached from the main graph.

Notes

DSA = lightning indexer + fine-grained token selection. Index score is a ReLU-based dot product of q and w (ReLU 'for throughput consideration'); the indexer 'has a small number of heads and can be implemented in FP8'. Only the top-2048 key-value entries are attended per query. DSA is instantiated on the MQA mode of MLA because 'each key-value entry must be shared across multiple queries for computational efficiency'. The indexer is trained separately with a KL loss, detached from the main graph.

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