Reef infra keeps LoRA training state separate for each agent scenario
This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.
Feedback-driven training becomes difficult to reason about when several products or workloads quietly update the same optimizer state. A support agent, a coding agent, and a research agent may all use the same base model while needing very different behavior. Reef infra makes the scenario boundary…
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- 2026-09-16 04:46 · r/huggingface
Reef infra keeps LoRA training state separate for each agent scenario
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