What are the hardware requirements for MiniMax M2.7 JANG 3L?

MiniMax M2.7 JANG 3L requires approximately 29.3 GB of VRAM and supports a context window of 192K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniMax M2.7 JANG 3L and how large is it?

MiniMax M2.7 JANG 3L is developed by JANGQ-AI, a model with 25.6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate MiniMax M2.7 JANG 3L?

MiniMax M2.7 JANG 3L is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniMax M2.7 JANG 3L by JANGQ-AI — VRAM 29.3GB, 192K context

Name: MiniMax M2.7 JANG 3L
Author: JANGQ-AI

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: 0.25.

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 Parameters and Internals

LLM Name	MiniMax M2.7 JANG 3L
Repository 🤗	https://huggingface.co/JANGQ-AI/MiniMax-M2.7-JANG_3L
Model Size	25.6b
Required VRAM	29.3 GB
Updated	2026-08-05
Maintainer	JANGQ-AI
Model Type	minimax_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 Architecture	MiniMaxM2ForCausalLM
License	other
Context Length	196608
Model Max Length	196608
Transformers Version	4.46.1
Vocabulary Size	200064

Rank the MiniMax M2.7 JANG 3L 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

Best Alternatives to MiniMax M2.7 JANG 3L

Best Alternatives	Context / RAM	Downloads	Likes
MiniMax M2.7 JANG 3L CRACK	192K / 29.3 GB	106	5