MiniMax M2.7 JANGTQ CRACK by dealignai

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MiniMax M2.7 JANGTQ CRACK is an open-source language model by dealignai. Features: 15.3b LLM, VRAM: 37GB, Context: 192K, License: other, LLM Explorer Score: 0.39.

  Abliterated   Apple-silicon Base model:finetune:minimaxai/... Base model:minimaxai/minimax-m...   Conversational   Crack   Custom code   En   Jang   Jangtq   Ko   Minimax m2   Mixed-precision   Mlx   Moe   Quantized   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Turboquant   Uncensored   Zh

MiniMax M2.7 JANGTQ CRACK Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MiniMax M2.7 JANGTQ CRACK Parameters and Internals

LLM NameMiniMax M2.7 JANGTQ CRACK
Repository 🤗https://huggingface.co/dealignai/MiniMax-M2.7-JANGTQ-CRACK 
Base Model(s)  MiniMaxAI/MiniMax-M2.7   MiniMaxAI/MiniMax-M2.7
Model Size15.3b
Required VRAM37 GB
Updated2026-04-16
Maintainerdealignai
Model Typeminimax_m2
Model Files  1.0 GB: 1-of-61   1.0 GB: 2-of-61   1.0 GB: 3-of-61   1.0 GB: 4-of-61   1.0 GB: 5-of-61   1.0 GB: 6-of-61   1.0 GB: 7-of-61   1.0 GB: 8-of-61   1.0 GB: 9-of-61   1.0 GB: 10-of-61   1.0 GB: 11-of-61   1.0 GB: 12-of-61   1.0 GB: 13-of-61   1.0 GB: 14-of-61   1.0 GB: 15-of-61   1.0 GB: 16-of-61   1.0 GB: 17-of-61   1.0 GB: 18-of-61   1.0 GB: 19-of-61   1.0 GB: 20-of-61   1.0 GB: 21-of-61   1.0 GB: 22-of-61   1.0 GB: 23-of-61   1.0 GB: 24-of-61   1.0 GB: 25-of-61   1.0 GB: 26-of-61   1.0 GB: 27-of-61   1.0 GB: 28-of-61   1.0 GB: 29-of-61   1.0 GB: 30-of-61   1.0 GB: 31-of-61   1.0 GB: 32-of-61   1.0 GB: 33-of-61   1.0 GB: 34-of-61   1.0 GB: 35-of-61   1.0 GB: 36-of-61   1.0 GB: 37-of-61
Supported Languagesen zh ko
Model ArchitectureMiniMaxM2ForCausalLM
Licenseother
Context Length196608
Model Max Length196608
Transformers Version4.46.1
Vocabulary Size200064

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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 v20260328a