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MiniMax M2.7 NVFP4 by nvidia

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MiniMax M2.7 NVFP4 is an open-source language model by nvidia. Features: 116.3b LLM, VRAM: 139.7GB, Context: 192K, License: other, LLM Explorer Score: 0.31.

  8-bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Conversational   Custom code   Minimax   Minimax m2   Model optimizer   Modelopt   Nvfp4   Nvidia   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nvidia/MiniMax-M2.7-NVFP4 

MiniMax M2.7 NVFP4 Benchmarks

LLME Score: 0.30739
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 NVFP4 (nvidia/MiniMax-M2.7-NVFP4)
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MiniMax M2.7 NVFP4 Parameters and Internals

LLM NameMiniMax M2.7 NVFP4
Repository 🤗https://huggingface.co/nvidia/MiniMax-M2.7-NVFP4 
Base Model(s)  MiniMaxAI/MiniMax-M2.7   MiniMaxAI/MiniMax-M2.7
Model Size116.3b
Required VRAM139.7 GB
Updated2026-04-25
Maintainernvidia
Model Typeminimax_m2
Model Files  10.0 GB: 1-of-15   10.0 GB: 2-of-15   10.0 GB: 3-of-15   10.0 GB: 4-of-15   10.0 GB: 5-of-15   10.0 GB: 6-of-15   9.9 GB: 7-of-15   10.0 GB: 8-of-15   9.9 GB: 9-of-15   10.0 GB: 10-of-15   9.9 GB: 11-of-15   10.0 GB: 12-of-15   9.9 GB: 13-of-15   8.9 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.57.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064

Best Alternatives to MiniMax M2.7 NVFP4

Best Alternatives
Context / RAM
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MiniMax M2.5 NVFP4192K / 140.1 GB5521132
Note: green Score (e.g. "73.2") means that the model is better than nvidia/MiniMax-M2.7-NVFP4.

Rank the MiniMax M2.7 NVFP4 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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