MiniMax M2.5 by MiniMaxAI

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MiniMax M2.5 is an open-source language model by MiniMaxAI. Features: 228.7b LLM, VRAM: 74GB, Context: 192K, License: other, LLM Explorer Score: 0.45.

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

MiniMax M2.5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniMax M2.5 (MiniMaxAI/MiniMax-M2.5)

Quantized Models of the MiniMax M2.5

Model
Likes
Downloads
VRAM
MiniMax M2.5 3bit1141299 GB
MiniMax M2.5 4bit3265128 GB
MiniMax M2.5 6bit4104185 GB
MiniMax M2.5 8bit287228 GB
MiniMax M2.5 8bit Gs32233211 GB

Best Alternatives to MiniMax M2.5

Best Alternatives
Context / RAM
Downloads
Likes
MiniMax M2.7200K / 75.2 GB10205221230
List 3.0 Ultra Coder Brain200K / 75.2 GB2210
MiniMax M2.7 BF16200K / 147.3 GB180
MiniMax M2192K / 77.7 GB1030201492
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
Note: green Score (e.g. "73.2") means that the model is better than MiniMaxAI/MiniMax-M2.5.

Rank the MiniMax M2.5 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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Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a