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: 192K, License: other, LLM Explorer Score: 0.7, ELO: 1403.

  Conversational   Custom code   Endpoints compatible   Eval-results   Fp8   Minimax m2   Region:us   Safetensors   Sharded   Tensorflow

MiniMax M2.7 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Quantized Models of the MiniMax M2.7

Model
Likes
Downloads
VRAM
MiniMax M2.7 AWQ 4bit27135343130 GB
MiniMax M2.7 4bit Mxfp492303121 GB
MiniMax M2.7 4bit21291128 GB
MiniMax M2.7 8bit Gs322585211 GB
MiniMax M2.7 3bit246699 GB
MiniMax M2.7 5bit2304155 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 / 77.7 GB28007510
MiniMax M2.7 BF16200K / 147.3 GB3530
MiniMax M2192K / 77.7 GB1030201492
MiniMax M2.5192K / 74 GB7177431375
MiniMax M2.7192K / 213 GB25742
MiniMax M2.1192K / 77.7 GB373911276
MiniMax M2.5192K / 75.2 GB715
MiniMax M2.1192K / 75.2 GB3212
MiniMax M2.7192K / 75.2 GB211017
MiniMax M2.7 Abliterated BF16192K / 210 GB9217

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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Release v20260328a