A single LoRA adapter placed at the gradient-energy-dominant shallow FFN module outperforms distributed LoRA across instruction, math, code, and conversation tasks.
LoRA: Low-rank adaptation of large language models
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VDCores decouples GPU execution into virtual cores and micro-ops to boost asynchronous hardware use, delivering 24% average LLM inference throughput gains and 90% less programming effort.
citing papers explorer
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Rethinking Adapter Placement: A Dominant Adaptation Module Perspective
A single LoRA adapter placed at the gradient-energy-dominant shallow FFN module outperforms distributed LoRA across instruction, math, code, and conversation tasks.
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VDCores: Resource Decoupled Programming and Execution for Asynchronous GPU
VDCores decouples GPU execution into virtual cores and micro-ops to boost asynchronous hardware use, delivering 24% average LLM inference throughput gains and 90% less programming effort.
- B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation