MoBA-based graphics memory optimization scheme
Memory explosion is a common bottleneck when processing long documents. MoBA provides the following optimization strategies from the perspective of the attention mechanism:
- Hierarchical processing mechanism: Chunking documents by semantic or structural and computing attention separately for each chunk significantly reduces the number of tokens processed at the same time
- dynamic memory management (DMM): Selective processing of key blocks through parameter-free gating to avoid storing all intermediate results
- Mixed Precision Support: Compatible with existing technologies and can be combined with FP16/INT8 quantization to further reduce graphics memory requirements
Specific implementation steps:
1. Analyze the structure of the document (sections/paragraphs) to set a reasonable block size
2. Evaluate model accuracy requirements and select appropriate top-k values
3. Monitor video memory usage to dynamically adjust processing strategies
4. Additional optimization in conjunction with gradient checkpointing techniques
This answer comes from the articleMoBA: A Large Language Model for Long Context Processing by KimiThe
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