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MiniMax M2.1 REAP 30 by 0xSero

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MiniMax M2.1 REAP 30 is an open-source language model by 0xSero. Features: 162b LLM, VRAM: 163.3GB, Context: 192K, License: apache-2.0, LLM Explorer Score: 0.24.

  Arxiv:2510.13999 Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Conversational   Custom code   Endpoints compatible   Fp8   Minimax   Minimax m2   Moe   Pruned   Reap   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/0xSero/MiniMax-M2.1-REAP-30 

MiniMax M2.1 REAP 30 Benchmarks

LLME Score: 0.24428
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniMax M2.1 REAP 30 (0xSero/MiniMax-M2.1-REAP-30)
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MiniMax M2.1 REAP 30 Parameters and Internals

LLM NameMiniMax M2.1 REAP 30
Repository 🤗https://huggingface.co/0xSero/MiniMax-M2.1-REAP-30 
Base Model(s)  MiniMaxAI/MiniMax-M2.1   MiniMaxAI/MiniMax-M2.1
Model Size162b
Required VRAM163.3 GB
Updated2026-04-21
Maintainer0xSero
Model Typeminimax_m2
Model Files  5.0 GB: 1-of-33   5.0 GB: 2-of-33   5.0 GB: 3-of-33   5.0 GB: 4-of-33   5.0 GB: 5-of-33   5.0 GB: 6-of-33   5.0 GB: 7-of-33   5.0 GB: 8-of-33   5.0 GB: 9-of-33   5.0 GB: 10-of-33   5.0 GB: 11-of-33   5.0 GB: 12-of-33   5.0 GB: 13-of-33   5.0 GB: 14-of-33   5.0 GB: 15-of-33   5.0 GB: 16-of-33   5.0 GB: 17-of-33   5.0 GB: 18-of-33   5.0 GB: 19-of-33   5.0 GB: 20-of-33   5.0 GB: 21-of-33   5.0 GB: 22-of-33   5.0 GB: 23-of-33   5.0 GB: 24-of-33   5.0 GB: 25-of-33   5.0 GB: 26-of-33   5.0 GB: 27-of-33   5.0 GB: 28-of-33   5.0 GB: 29-of-33   5.0 GB: 30-of-33   5.0 GB: 31-of-33   5.0 GB: 32-of-33   3.3 GB: 33-of-33
Model ArchitectureMiniMaxM2ForCausalLM
Licenseapache-2.0
Context Length196608
Model Max Length196608
Transformers Version4.55.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064
Torch Data Typebfloat16

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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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