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MiniMax M2.5 REAP 139B A10B by cerebras

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MiniMax M2.5 REAP 139B A10B is an open-source language model by cerebras. Features: 139b LLM, VRAM: 141.2GB, Context: 192K, License: other, LLM Explorer Score: 0.32.

  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
Model Card on HF 🤗: https://huggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A10B 

MiniMax M2.5 REAP 139B A10B Benchmarks

LLME Score: 0.32178
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniMax M2.5 REAP 139B A10B (cerebras/MiniMax-M2.5-REAP-139B-A10B)
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MiniMax M2.5 REAP 139B A10B Parameters and Internals

LLM NameMiniMax M2.5 REAP 139B A10B
Repository 🤗https://huggingface.co/cerebras/MiniMax-M2.5-REAP-139B-A10B 
Base Model(s)  MiniMaxAI/MiniMax-M2.5   MiniMaxAI/MiniMax-M2.5
Model Size139b
Required VRAM141.2 GB
Updated2026-04-14
Maintainercerebras
Model Typeminimax_m2
Model Files  5.4 GB: 1-of-27   5.4 GB: 2-of-27   5.4 GB: 3-of-27   5.4 GB: 4-of-27   5.4 GB: 5-of-27   5.4 GB: 6-of-27   5.4 GB: 7-of-27   5.4 GB: 8-of-27   5.4 GB: 9-of-27   5.4 GB: 10-of-27   5.4 GB: 11-of-27   5.4 GB: 12-of-27   5.4 GB: 13-of-27   5.4 GB: 14-of-27   5.4 GB: 15-of-27   5.4 GB: 16-of-27   5.4 GB: 17-of-27   5.4 GB: 18-of-27   5.4 GB: 19-of-27   5.4 GB: 20-of-27   5.4 GB: 21-of-27   5.4 GB: 22-of-27   5.4 GB: 23-of-27   5.4 GB: 24-of-27   5.4 GB: 25-of-27   5.0 GB: 26-of-27   1.2 GB: 27-of-27
Supported Languagesen
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064

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Note: green Score (e.g. "73.2") means that the model is better than cerebras/MiniMax-M2.5-REAP-139B-A10B.

Rank the MiniMax M2.5 REAP 139B A10B Capabilities

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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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