Model: cyankiwi/MiniMax-M2-REAP-162B-A10B-AWQ-4bit
Author: cyankiwi
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, minimax_m2, text-generation, glm, MOE, pruning, compression, conversational, custom_code, en, arxiv:2510.13999, base_model:cerebras/MiniMax-M2-REAP-162B-A10B, base_model:quantized:cerebras/MiniMax-M2-REAP-162B-A10B, license:other, compressed-tensors, region:us
Base models (quantized): id: cerebras/MiniMax-M2-REAP-162B-A10B
Card metadata: language: en
library_name: transformers
tags: glm, MOE, pruning, compression
license: other
name: cerebras/MiniMax-M2-REAP-162B-A10B
description: This model was obtained by uniformly pruning 30% of experts in MiniMax-M2 using the REAP method.

readme: https://huggingface.co/cerebras/MiniMax-M2-REAP-162B-A10B/main/README.md

pipeline_tag: text-generation
base_model: cerebras/MiniMax-M2-REAP-162B-A10B
Likes: 4 | All-time downloads: 2963
Created: 2025-11-18 05:02:40