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MiniMax M2.7 by MiniMaxAI

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MiniMax M2.7 is an open-source language model by MiniMaxAI. Features: 228.7b LLM, VRAM: 75.2GB, Context: 200K, License: other, LLM Explorer Score: 0.62, ELO: 1403.

  Conversational   Custom code   Deploy:sagemaker   Endpoints compatible   Eval-results   Fp8   Minimax m2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MiniMaxAI/MiniMax-M2.7 

MiniMax M2.7 Benchmarks

LMSys ELO: 1403 vs 1272 (so35)10.3%
LLME Score: 0.62053
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniMax M2.7 (MiniMaxAI/MiniMax-M2.7)

MiniMax M2.7 Parameters and Internals

LLM NameMiniMax M2.7
Repository 🤗https://huggingface.co/MiniMaxAI/MiniMax-M2.7 
Model Size228.7b
Required VRAM75.2 GB
Updated2026-07-24
MaintainerMiniMaxAI
Model Typeminimax_m2
Model Files  3.7 GB: 0-of-130   1.2 GB: 1-of-130   2.5 GB: 2-of-130   1.2 GB: 3-of-130   2.5 GB: 4-of-130   1.2 GB: 5-of-130   2.5 GB: 6-of-130   1.2 GB: 7-of-130   2.5 GB: 8-of-130   1.2 GB: 9-of-130   2.5 GB: 10-of-130   1.2 GB: 11-of-130   2.5 GB: 12-of-130   1.2 GB: 13-of-130   2.5 GB: 14-of-130   1.2 GB: 15-of-130   2.5 GB: 16-of-130   1.2 GB: 17-of-130   2.5 GB: 18-of-130   1.2 GB: 19-of-130   2.5 GB: 20-of-130   1.2 GB: 21-of-130   2.5 GB: 22-of-130   1.2 GB: 23-of-130   2.5 GB: 24-of-130   1.2 GB: 25-of-130   2.5 GB: 26-of-130   1.2 GB: 27-of-130   2.5 GB: 28-of-130   1.2 GB: 29-of-130   2.5 GB: 30-of-130   1.2 GB: 31-of-130   2.5 GB: 32-of-130   1.2 GB: 33-of-130   2.5 GB: 34-of-130   1.2 GB: 35-of-130   2.5 GB: 36-of-130   1.2 GB: 37-of-130   2.5 GB: 38-of-130   1.2 GB: 39-of-130
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length204800
Model Max Length204800
Transformers Version4.46.1
Vocabulary Size200064

Quantized Models of the MiniMax M2.7

Model
Likes
Downloads
VRAM
MiniMax M2.7 AWQ 4bit4267190130 GB
MiniMax M2.7 4bit Mxfp4101359121 GB
MiniMax M2.7 4bit2712128 GB
MiniMax M2.7 3bit445599 GB
MiniMax M2.7 8bit Gs322249211 GB
MiniMax M2.7 5bit2191155 GB
MiniMax M2.7 HLWQ Q531742 GB

Best Alternatives to MiniMax M2.7

Best Alternatives
Context / RAM
Downloads
Likes
List 3.0 Ultra Coder Brain200K / 75.2 GB2210
MiniMax M2.7 BF16200K / 147.3 GB180
MiniMax M2192K / 77.7 GB1030201492
MiniMax M2.5192K / 74 GB7926871501
MiniMax M2.7192K / 213 GB2182
MiniMax M2.5192K / 75.2 GB195
MiniMax M2.1192K / 77.7 GB81021356
MiniMax M2.1192K / 75.2 GB5413
MiniMax SLURPY192K / 226.8 GB18114
MiniMax M2.7 RAM 100GB MLX192K / 100.4 GB3005

Rank the MiniMax M2.7 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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