MiniMax M2 3bit by mlx-community

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MiniMax M2 3bit is an open-source language model by mlx-community. Features: 228.7b LLM, VRAM: 99.7GB, Context: 192K, License: mit, Quantized.

  3-bit   3bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Conversational   Minimax   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow
MiniMax M2 3bit (mlx-community/MiniMax-M2-3bit)
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MiniMax M2 3bit Parameters and Internals

LLM NameMiniMax M2 3bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/MiniMax-M2-3bit 
Base Model(s)  MiniMaxAI/MiniMax-M2   MiniMaxAI/MiniMax-M2
Model Size228.7b
Required VRAM99.7 GB
Updated2026-03-27
Maintainermlx-community
Model Typeminimax
Model Files  5.1 GB: 1-of-19   5.3 GB: 2-of-19   5.3 GB: 3-of-19   5.4 GB: 4-of-19   5.3 GB: 5-of-19   5.3 GB: 6-of-19   5.4 GB: 7-of-19   5.3 GB: 8-of-19   5.3 GB: 9-of-19   5.4 GB: 10-of-19   5.3 GB: 11-of-19   5.3 GB: 12-of-19   5.4 GB: 13-of-19   5.3 GB: 14-of-19   5.3 GB: 15-of-19   5.4 GB: 16-of-19   5.3 GB: 17-of-19   5.3 GB: 18-of-19   4.0 GB: 19-of-19
Quantization Type3bit
Model ArchitectureMiniMaxM2ForCausalLM
Licensemit
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064

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Rank the MiniMax M2 3bit 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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Release v20260327b