MiniMax M2.7 by MiniMaxAI

 ยป  All LLMs  ยป  MiniMaxAI  ยป  MiniMax M2.7   URL Share it on

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: 0.57.

  Conversational   Custom code   Endpoints compatible   Eval-results   Fp8   Minimax m2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/MiniMaxAI/MiniMax-M2.7 

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").
MiniMax M2.7 (MiniMaxAI/MiniMax-M2.7)
๐ŸŒŸ Advertise your project ๐Ÿš€

Best Alternatives to MiniMax M2.7

Best Alternatives
Context / RAM
Downloads
Likes
MiniMax M2192K / 77.7 GB1229151488
MiniMax M2.5192K / 74 GB7177431375
MiniMax M2.1192K / 77.7 GB397751271
MiniMax M2.5192K / 75.2 GB9265
MiniMax M2.7192K / 75.2 GB7113
MiniMax M2.1192K / 75.2 GB3512
MiniMax M2.7 RAM 100GB MLX192K / 100.4 GB534
MiniMax M2.7 RAM 90GB MLX192K / 90 GB214
MiniMax M2.7 RAM 120GB MLX192K / 120.1 GB572
MiniMax M2.5 Bf16 Heretic192K / 440 GB200
Note: green Score (e.g. "73.2") means that the model is better than MiniMaxAI/MiniMax-M2.7.

Rank the MiniMax M2.7 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 52792 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260328a