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MiniMax M2.7 JANG 2L by JANGQ-AI

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MiniMax M2.7 JANG 2L is an open-source language model by JANGQ-AI. Features: 18.6b LLM, VRAM: 27.4GB, Context: 192K, License: other, LLM Explorer Score: 0.42.

  Apple-silicon   Conversational   Custom code   Jang   Minimax   Minimax m2   Mlx   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JANGQ-AI/MiniMax-M2.7-JANG_2L 

MiniMax M2.7 JANG 2L Benchmarks

LLME Score: 0.41595
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 JANG 2L (JANGQ-AI/MiniMax-M2.7-JANG_2L)
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MiniMax M2.7 JANG 2L Parameters and Internals

LLM NameMiniMax M2.7 JANG 2L
Repository 🤗https://huggingface.co/JANGQ-AI/MiniMax-M2.7-JANG_2L 
Model Size18.6b
Required VRAM27.4 GB
Updated2026-04-13
MaintainerJANGQ-AI
Model Typeminimax_m2
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Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Vocabulary Size200064

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MiniMax M2.7 JANG 2L CRACK192K / 27.4 GB4584

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Instruction Following and Task Automation  
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