Model: NexVeridian/Kimi-Linear-REAP-35B-A3B-Instruct-5bit
Author: NexVeridian
Pipeline: text-generation
Library: mlx
Tags: mlx, safetensors, kimi_linear, glm, MOE, pruning, compression, text-generation, conversational, custom_code, en, base_model:cerebras/Kimi-Linear-REAP-35B-A3B-Instruct, base_model:quantized:cerebras/Kimi-Linear-REAP-35B-A3B-Instruct, license:mit, 5-bit, region:us
Base models (quantized): id: cerebras/Kimi-Linear-REAP-35B-A3B-Instruct
Card metadata: language: en
library_name: mlx
tags: glm, MOE, pruning, compression, mlx
license: mit
name: cerebras/Kimi-Linear-REAP-35B-A3B-Instruct
description: This model was obtained by uniformly pruning 30% of experts in Kimi-Linear-48B-A3B-Instruct using the REAP method.

readme: https://huggingface.co/cerebras/Kimi-Linear-REAP-35B-A3B-Instruct/main/README.md

pipeline_tag: text-generation
base_model: cerebras/Kimi-Linear-REAP-35B-A3B-Instruct
Likes: 0 | All-time downloads: 68
Created: 2025-12-03 03:41:23