What are the hardware requirements for MiniMax M2.7 RAM 203GB MLX?

MiniMax M2.7 RAM 203GB MLX requires approximately 203.3 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 RAM 203GB MLX and how large is it?

MiniMax M2.7 RAM 203GB MLX is developed by baa-ai, a model with 228.7b 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 RAM 203GB MLX?

MiniMax M2.7 RAM 203GB MLX is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniMax M2.7 RAM 203GB MLX by baa-ai — VRAM 203.3GB, 192K context

Name: MiniMax M2.7 RAM 203GB MLX
Author: baa-ai

MiniMax M2.7 RAM 203GB MLX is an open-source language model by baa-ai. Features: 228.7b LLM, VRAM: 203.3GB, Context: 192K, License: other, LLM Explorer Score: 0.23.

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-203GB-MLX

MiniMax M2.7 RAM 203GB MLX Parameters and Internals

LLM Name	MiniMax M2.7 RAM 203GB MLX
Repository 🤗	https://huggingface.co/baa-ai/MiniMax-M2.7-RAM-203GB-MLX
Base Model(s)	MiniMaxAI/MiniMax-M2.7 MiniMaxAI/MiniMax-M2.7
Model Size	228.7b
Required VRAM	203.3 GB
Updated	2026-08-07
Maintainer	baa-ai
Model Type	minimax_m2
Model Files	4.7 GB: 1-of-41 5.2 GB: 2-of-41 4.9 GB: 3-of-41 5.3 GB: 4-of-41 4.9 GB: 5-of-41 4.7 GB: 6-of-41 5.2 GB: 7-of-41 5.0 GB: 8-of-41 5.4 GB: 9-of-41 4.9 GB: 10-of-41 4.9 GB: 11-of-41 4.9 GB: 12-of-41 5.2 GB: 13-of-41 5.0 GB: 14-of-41 5.1 GB: 15-of-41 5.0 GB: 16-of-41 5.2 GB: 17-of-41 5.3 GB: 18-of-41 4.7 GB: 19-of-41 4.8 GB: 20-of-41 5.2 GB: 21-of-41 5.2 GB: 22-of-41 5.2 GB: 23-of-41 5.3 GB: 24-of-41 5.2 GB: 25-of-41 5.2 GB: 26-of-41 5.3 GB: 27-of-41 5.2 GB: 28-of-41 5.1 GB: 29-of-41 3.8 GB: 30-of-41 4.8 GB: 31-of-41 4.9 GB: 32-of-41 4.9 GB: 33-of-41 4.8 GB: 34-of-41 4.9 GB: 35-of-41 4.9 GB: 36-of-41 4.8 GB: 37-of-41 4.9 GB: 38-of-41 5.1 GB: 39-of-41 5.2 GB: 40-of-41 3.1 GB: 41-of-41
Supported Languages	en
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 RAM 203GB MLX 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 RAM 203GB MLX

Best Alternatives	Context / RAM	Downloads	Likes
MiniMax M2.7	200K / 75.2 GB	923544	1235
List 3.0 Ultra Coder Brain	200K / 75.2 GB	22	10
MiniMax M2.7 BF16	200K / 147.3 GB	18	0
MiniMax M2	192K / 77.7 GB	103020	1492
MiniMax M2.5	192K / 74 GB	772099	1502
MiniMax M2.7	192K / 213 GB	247	2
MiniMax M2.7	192K / 75.2 GB	58	18
MiniMax M2.5	192K / 75.2 GB	19	5
MiniMax M2.1	192K / 75.2 GB	54	13
MiniMax M2	192K / 77.7 GB	24	17

Note: green Score (e.g. "73.2") means that the model is better than baa-ai/MiniMax-M2.7-RAM-203GB-MLX.