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MiniMax M2.7 RAM 120GB MLX by baa-ai

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MiniMax M2.7 RAM 120GB MLX is an open-source language model by baa-ai. Features: 228.7b LLM, VRAM: 120.1GB, Context: 192K, License: other, LLM Explorer Score: 0.27.

  4-bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai...   Conversational   Custom code   En   Minimax   Minimax m2   Mixed-precision   Mlx   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-120GB-MLX 

MiniMax M2.7 RAM 120GB MLX Benchmarks

LLME Score: 0.27279
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 RAM 120GB MLX (baa-ai/MiniMax-M2.7-RAM-120GB-MLX)
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MiniMax M2.7 RAM 120GB MLX Parameters and Internals

LLM NameMiniMax M2.7 RAM 120GB MLX
Repository 🤗https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-120GB-MLX 
Base Model(s)  MiniMaxAI/MiniMax-M2.7   MiniMaxAI/MiniMax-M2.7
Model Size228.7b
Required VRAM120.1 GB
Updated2026-05-30
Maintainerbaa-ai
Model Typeminimax_m2
Model Files  5.3 GB: 1-of-24   5.3 GB: 2-of-24   5.4 GB: 3-of-24   5.4 GB: 4-of-24   5.3 GB: 5-of-24   5.4 GB: 6-of-24   5.4 GB: 7-of-24   4.9 GB: 8-of-24   5.4 GB: 9-of-24   5.3 GB: 10-of-24   5.3 GB: 11-of-24   5.0 GB: 12-of-24   5.3 GB: 13-of-24   5.3 GB: 14-of-24   4.9 GB: 15-of-24   5.2 GB: 16-of-24   5.2 GB: 17-of-24   5.2 GB: 18-of-24   5.2 GB: 19-of-24   4.5 GB: 20-of-24   4.6 GB: 21-of-24   5.3 GB: 22-of-24   5.3 GB: 23-of-24   0.7 GB: 24-of-24
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size200064
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than baa-ai/MiniMax-M2.7-RAM-120GB-MLX.

Rank the MiniMax M2.7 RAM 120GB MLX Capabilities

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Instruction Following and Task Automation  
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