What are the hardware requirements for MiniMax M2.5 8bit Gs32?

MiniMax M2.5 8bit Gs32 requires approximately 211.8 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 M2.5 8bit Gs32 and how large is it?

MiniMax M2.5 8bit Gs32 is developed by mlx-community, 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 M2.5 8bit Gs32?

MiniMax M2.5 8bit Gs32 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniMax M2.5 8bit Gs32 by mlx-community — VRAM 211.8GB, 192K context

Name: MiniMax M2.5 8bit Gs32
Author: mlx-community

MiniMax M2.5 8bit Gs32 is an open-source language model by mlx-community. Features: 228.7b LLM, VRAM: 211.8GB, Context: 192K, License: other, Quantized, LLM Explorer Score: 0.22.

8-bit 8bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai... Conversational Custom code Minimax m2 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/MiniMax-M2.5-8bit-gs32

MiniMax M2.5 8bit Gs32 Parameters and Internals

LLM Name	MiniMax M2.5 8bit Gs32
Repository 🤗	https://huggingface.co/mlx-community/MiniMax-M2.5-8bit-gs32
Base Model(s)	MiniMaxAI/MiniMax-M2.5 MiniMaxAI/MiniMax-M2.5
Model Size	228.7b
Required VRAM	211.8 GB
Updated	2026-08-06
Maintainer	mlx-community
Model Type	minimax_m2
Model Files	4.9 GB: 1-of-54 5.3 GB: 2-of-54 4.3 GB: 3-of-54 5.3 GB: 4-of-54 4.3 GB: 5-of-54 5.3 GB: 6-of-54 4.3 GB: 7-of-54 5.3 GB: 8-of-54 4.3 GB: 9-of-54 5.3 GB: 10-of-54 4.3 GB: 11-of-54 5.3 GB: 12-of-54 4.3 GB: 13-of-54 5.3 GB: 14-of-54 4.3 GB: 15-of-54 5.3 GB: 16-of-54 4.3 GB: 17-of-54 5.3 GB: 18-of-54 4.3 GB: 19-of-54 5.3 GB: 20-of-54 4.3 GB: 21-of-54 5.3 GB: 22-of-54 4.3 GB: 23-of-54 5.3 GB: 24-of-54 4.3 GB: 25-of-54 5.3 GB: 26-of-54 4.3 GB: 27-of-54 5.3 GB: 28-of-54 4.3 GB: 29-of-54 5.3 GB: 30-of-54 4.3 GB: 31-of-54 5.3 GB: 32-of-54 4.3 GB: 33-of-54 5.3 GB: 34-of-54 4.3 GB: 35-of-54 5.3 GB: 36-of-54 4.3 GB: 37-of-54 5.3 GB: 38-of-54 4.3 GB: 39-of-54 5.3 GB: 40-of-54 4.3 GB: 41-of-54 5.3 GB: 42-of-54 4.3 GB: 43-of-54 5.3 GB: 44-of-54
Quantization Type	8bit
Model Architecture	MiniMaxM2ForCausalLM
License	other
Context Length	196608
Model Max Length	196608
Transformers Version	4.46.1
Vocabulary Size	200064

Rank the MiniMax M2.5 8bit Gs32 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 M2.5 8bit Gs32

Best Alternatives	Context / RAM	Downloads	Likes
MiniMax M2.7 4bit Mxfp4	192K / 121.5 GB	746	10
MiniMax M2.7 4bit	192K / 128.3 GB	739	2
MiniMax M2.7 3bit	192K / 99.7 GB	319	4
MiniMax M2.7 6bit	192K / 185.8 GB	268	1
MiniMax M2.7 8bit	192K / 228.2 GB	237	1
MiniMax M2.7 5bit	192K / 155.8 GB	189	2
MiniMax M2.7 8bit Gs32	192K / 211.8 GB	66	2
MiniMax M2 Mlx 8bit Gs32	192K / 206.5 GB	14	2
MiniMax M2.1 3bit	192K / 99.7 GB	3529	5
MiniMax M2.1 4bit	192K / 128.3 GB	2484	5

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/MiniMax-M2.5-8bit-gs32.