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MiniMax M2.7 JANG 3L by JANGQ-AI

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MiniMax M2.7 JANG 3L is an open-source language model by JANGQ-AI. Features: 25.6b LLM, VRAM: 29.3GB, Context: 192K, License: other, LLM Explorer Score: 0.36.

  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_3L 

MiniMax M2.7 JANG 3L Benchmarks

LLME Score: 0.3614
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 3L (JANGQ-AI/MiniMax-M2.7-JANG_3L)
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MiniMax M2.7 JANG 3L Parameters and Internals

LLM NameMiniMax M2.7 JANG 3L
Repository 🤗https://huggingface.co/JANGQ-AI/MiniMax-M2.7-JANG_3L 
Model Size25.6b
Required VRAM29.3 GB
Updated2026-04-13
MaintainerJANGQ-AI
Model Typeminimax_m2
Model Files  0.8 GB: 1-of-126   0.5 GB: 2-of-126   1.0 GB: 3-of-126   0.5 GB: 4-of-126   1.0 GB: 5-of-126   0.5 GB: 6-of-126   1.0 GB: 7-of-126   0.5 GB: 8-of-126   1.0 GB: 9-of-126   0.5 GB: 10-of-126   1.0 GB: 11-of-126   0.5 GB: 12-of-126   1.0 GB: 13-of-126   0.5 GB: 14-of-126   1.0 GB: 15-of-126   0.5 GB: 16-of-126   1.0 GB: 17-of-126   0.5 GB: 18-of-126   1.0 GB: 19-of-126   0.5 GB: 20-of-126   1.0 GB: 21-of-126   0.5 GB: 22-of-126   1.0 GB: 23-of-126   0.5 GB: 24-of-126   1.0 GB: 25-of-126   0.5 GB: 26-of-126   1.0 GB: 27-of-126   0.5 GB: 28-of-126   1.0 GB: 29-of-126   0.5 GB: 30-of-126   1.0 GB: 31-of-126   0.5 GB: 32-of-126   1.0 GB: 33-of-126   0.5 GB: 34-of-126   1.0 GB: 35-of-126   0.5 GB: 36-of-126   1.0 GB: 37-of-126   0.5 GB: 38-of-126   1.0 GB: 39-of-126
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Vocabulary Size200064

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MiniMax M2.7 JANG 3L CRACK192K / 29.3 GB15064

Rank the MiniMax M2.7 JANG 3L Capabilities

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Instruction Following and Task Automation  
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