MiniMax M2 5bit by mlx-community

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MiniMax M2 5bit is an open-source language model by mlx-community. Features: LLM, VRAM: 155.8GB, Context: 192K, License: mit, Quantized, LLM Explorer Score: 0.23.

  5-bit   5bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Conversational   Minimax   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

MiniMax M2 5bit 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 5bit (mlx-community/MiniMax-M2-5bit)
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MiniMax M2 5bit Parameters and Internals

LLM NameMiniMax M2 5bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/MiniMax-M2-5bit 
Base Model(s)  MiniMax M2   MiniMaxAI/MiniMax-M2
Required VRAM155.8 GB
Updated2026-04-13
Maintainermlx-community
Model Typeminimax
Model Files  4.6 GB: 1-of-32   5.0 GB: 2-of-32   5.0 GB: 3-of-32   5.0 GB: 4-of-32   5.0 GB: 5-of-32   5.0 GB: 6-of-32   5.0 GB: 7-of-32   5.0 GB: 8-of-32   5.0 GB: 9-of-32   5.0 GB: 10-of-32   5.0 GB: 11-of-32   5.0 GB: 12-of-32   5.0 GB: 13-of-32   5.0 GB: 14-of-32   5.0 GB: 15-of-32   5.0 GB: 16-of-32   5.0 GB: 17-of-32   5.0 GB: 18-of-32   5.0 GB: 19-of-32   5.0 GB: 20-of-32   5.0 GB: 21-of-32   5.0 GB: 22-of-32   5.0 GB: 23-of-32   5.0 GB: 24-of-32   5.0 GB: 25-of-32   5.0 GB: 26-of-32   5.0 GB: 27-of-32   5.0 GB: 28-of-32   5.0 GB: 29-of-32   5.0 GB: 30-of-32   5.0 GB: 31-of-32   1.2 GB: 32-of-32
Quantization Type5bit
Model ArchitectureMiniMaxM2ForCausalLM
Licensemit
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064

Best Alternatives to MiniMax M2 5bit

Best Alternatives
Context / RAM
Downloads
Likes
MiniMax M2.7 HLWQ Q5192K / 42 GB173
MiniMax M2 Mlx 8bit Gs32192K / 206.5 GB1142
MiniMax M2 4bit192K / 128.3 GB144910
MiniMax M2 8bit192K / 223 GB3718
MiniMax M2 6bit192K / 185.8 GB1072
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/MiniMax-M2-5bit.

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