MiniMax M2 REAP 139B A10B by cerebras

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MiniMax M2 REAP 139B A10B is an open-source language model by cerebras. Features: 139b LLM, VRAM: 140.5GB, Context: 192K, License: other.

  Arxiv:2510.13999 Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Compression   Conversational   Custom code   En   Endpoints compatible   Fp8   Minimax   Minimax m2   Moe   Pruning   Region:us   Safetensors   Sharded   Tensorflow
MiniMax M2 REAP 139B A10B (cerebras/MiniMax-M2-REAP-139B-A10B)
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MiniMax M2 REAP 139B A10B Parameters and Internals

LLM NameMiniMax M2 REAP 139B A10B
Repository ๐Ÿค—https://huggingface.co/cerebras/MiniMax-M2-REAP-139B-A10B 
Base Model(s)  MiniMax M2   MiniMaxAI/MiniMax-M2
Model Size139b
Required VRAM140.5 GB
Updated2026-03-28
Maintainercerebras
Model Typeminimax_m2
Model Files  5.0 GB: 1-of-29   5.0 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   5.0 GB: 5-of-29   5.0 GB: 6-of-29   5.0 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   5.0 GB: 10-of-29   5.0 GB: 11-of-29   5.0 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   5.0 GB: 15-of-29   5.0 GB: 16-of-29   5.0 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   5.0 GB: 20-of-29   5.0 GB: 21-of-29   5.0 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   5.0 GB: 25-of-29   5.0 GB: 26-of-29   5.0 GB: 27-of-29   4.3 GB: 28-of-29   1.2 GB: 29-of-29
Supported Languagesen
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.57.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a