Jeff-Qwen3.5-0.8B v1.2 + 9 LoRA adapters: put it in front of Qwen3.8-27B for 38× faster decisions and +8.7 points accuracy, for under 2 GB extra memory
2.70T2 sourcer/LocalLLaMA
r/LocalLLaMAoriginal source ↗
Source record
Published by r/LocalLLaMA (T2 source). The original is at https://www.reddit.com/r/LocalLLaMA/comments/1wv05u1/jeffqwen3508b_v12_9_lora_adapters_put_it_in_front/.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA 0.8B model with 9 LoRA adapters, positioned in front of a 27B model, is reported to yield 38x faster decisions and 8.7 accuracy points higher, with under 2GB of additional memory.
Why it mattersConcrete small-model-as-router setup with named models and quantified gains; useful starting point for budget-aware local agent pipelines.
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