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

MiniMax M2.5 5bit requires approximately 155.8 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 5bit and how large is it?

MiniMax M2.5 5bit 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 5bit?

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

MiniMax M2.5 5bit by mlx-community — VRAM 155.8GB, 192K context

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

MiniMax M2.5 5bit is an open-source language model by mlx-community. Features: 228.7b LLM, VRAM: 155.8GB, Context: 192K, License: other, Quantized, LLM Explorer Score: 0.22.

5-bit 5bit 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-M2.5-5bit

MiniMax M2.5 5bit Parameters and Internals

LLM Name	MiniMax M2.5 5bit
Repository 🤗	https://huggingface.co/mlx-community/MiniMax-M2.5-5bit
Base Model(s)	MiniMaxAI/MiniMax-M2.5 MiniMaxAI/MiniMax-M2.5
Model Size	228.7b
Required VRAM	155.8 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	minimax_m2
Model Files	4.6 GB: 1-of-32 5.0 GB: 2-of-32 5.0 GB: 3-of-32 5.0 GB: 4-of-32 5.0 GB: 5-of-32 5.0 GB: 6-of-32 5.0 GB: 7-of-32 5.0 GB: 8-of-32 5.0 GB: 9-of-32 5.0 GB: 10-of-32 5.0 GB: 11-of-32 5.0 GB: 12-of-32 5.0 GB: 13-of-32 5.0 GB: 14-of-32 5.0 GB: 15-of-32 5.0 GB: 16-of-32 5.0 GB: 17-of-32 5.0 GB: 18-of-32 5.0 GB: 19-of-32 5.0 GB: 20-of-32 5.0 GB: 21-of-32 5.0 GB: 22-of-32 5.0 GB: 23-of-32 5.0 GB: 24-of-32 5.0 GB: 25-of-32 5.0 GB: 26-of-32 5.0 GB: 27-of-32 5.0 GB: 28-of-32 5.0 GB: 29-of-32 5.0 GB: 30-of-32 5.0 GB: 31-of-32 1.2 GB: 32-of-32
Quantization Type	5bit
Model Architecture	MiniMaxM2ForCausalLM
License	other
Context Length	196608
Model Max Length	196608
Transformers Version	4.46.1
Tokenizer Class	TokenizersBackend
Vocabulary Size	200064

Rank the MiniMax M2.5 5bit 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
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Code Generation
Multi-Language Support and Translation

Best Alternatives to MiniMax M2.5 5bit

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-M2.5-5bit.