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base: epic/support-multi-lora
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set lora #506
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Co-authored-by: pathfinder-fp <[email protected]>
Co-authored-by: pathfinder-fp <[email protected]>
feat: lora manager
* feat: test lora * fix codes * repeat kv heads --------- Co-authored-by: JamesBrianD <[email protected]>
* feat: infer lora target modules from adapters * feat: add radix key with extra key
Summary of ChangesHello @JamesBrianD, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces performance optimizations for LoRA (Low-Rank Adaptation) weight management within the system. The primary goal is to reduce redundant computations by ensuring that LoRA layer buffer references are only updated, and model states are only re-captured, when new LoRA weights have actually been loaded into memory. This change enhances efficiency by avoiding unnecessary processing cycles when the active set of LoRA adapters remains unchanged. Highlights
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Motivation
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist