--- library_name: transformers tags: - compression - expert-merging - moe license: apache-2.0 base_model: - Qwen/Qwen3-30B-A3B-Instruct-2507 --- # Qwen3-30B-A3B-Instruct-2507-REAP This model is a compressed version of [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507). It is obtained by reducing the number of experts in each MoE layer from 128 to 96 using the REAP baseline method as described in https://bknyaz.github.io/blog/2026/moe/. The compressed model has 23B params (44GB) instead of 31B (57GB) of the original model, reducing storage and GPU memory requirements by roughly 25%. At the same time, the model retains >=90% 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. See additional details at [Qwen3-30B-A3B-Instruct-2507-REAM](https://huggingface.co/SamsungSAILMontreal/Qwen3-30B-A3B-Instruct-2507-REAM). ### Results | Model | Winogrande | ARC-C | ARC-E | BoolQ | HellaSwag | MMLU | OpenBookQA | RTE | AVG | |----------------------------------|------------|-------|-------|-------|-----------|------|------------|------|------| | Qwen3-30B-A3B-Instruct-2507 | 73.2 | 60.7 | 85.1 | 88.7 | 61.2 | 80.1 | 32.4 | 76.5 | 69.7 | | Qwen3-30B-A3B-Instruct-2507-REAP | 71.7 | 49.3 | 77.4 | 88.1 | 56.5 | 69.3 | 29.6 | 78.3 | 65.0 | | Model | IFeval | AIME25 | GSM8K | GPQA-D | HumanEval | LiveCodeBench | AVG | |----------------------------------|--------|--------|-------|--------|-----------|---------------|-------| | Qwen3-30B-A3B-Instruct-2507 | 90.4 | 56.7 | 89.3 | 47.0 | 93.3 | 48.6 | 70.9 | | Qwen3-30B-A3B-Instruct-2507-REAP | 88.0 | 56.7 | 87.9 | 37.9 | 81.7 | 33.0 | 64.2 | ## License Please refer to the license of the original model [Qwen/Qwen3-30B-A3B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507).