This model is a compressed version of
Qwen/Qwen3-Next-80B-A3B-Instruct.
It is obtained by reducing the number of experts in each MoE layer from 512 to 384 using the REAP baseline method as described in
https://bknyaz.github.io/blog/2026/moe/.
The compressed model has 60B params (120GB) instead of 80B (160GB) of the original model,
reducing storage and GPU memory requirements by roughly 25%. At the same time,
the model retains >=94% of the original model's performance on a variety of benchmarks (see Results section below).
Additional efficiency optimization (e.g., quantization) can be added similarly to the original model.
Please refer to the license of the original model
Qwen/Qwen3-Next-80B-A3B-Instruct.
