Jeff-Qwen3.5-0.8B v1.2 accelerates Qwen 27B for faster decisions and improved accuracy

A community project, Jeff-Qwen3.5-0.8B v1.2, has been developed to enhance the Qwen 27B model. Developers claim that using this smaller model with 9 LoRA adapters in front of Qwen 27B results in 38 times faster decisions and an 8.7 point increase in accuracy, while requiring under 2 GB of additional memory. The project also includes a "Pi extension" designed to bypass extensive reasoning with the larger Qwen 27B for quicker responses, with all claims originating from the r/LocalLLaMA community.

2 articles from 1 outlet covered this story. The underlying claim is sourced from a benchmark.

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optimist1

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 memoryoriginalr/LocalLLaMA · independent

pragmatist1

Pi extension: Skip reasoning with local Qwen 27B and proceed to answer right noworiginalr/LocalLLaMA · independent