What are the hardware requirements for MiniMax M2.7 MXFP4?

MiniMax M2.7 MXFP4 requires approximately 127.4 GB of VRAM and supports a context window of 200K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniMax M2.7 MXFP4 and how large is it?

MiniMax M2.7 MXFP4 is developed by amd, a model with 116.3b 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 MXFP4?

MiniMax M2.7 MXFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniMax M2.7 MXFP4 by amd — VRAM 127.4GB, 200K context

Name: MiniMax M2.7 MXFP4
Author: amd

MiniMax M2.7 MXFP4 is an open-source language model by amd. Features: 116.3b LLM, VRAM: 127.4GB, Context: 200K, License: other, LLM Explorer Score: 0.26.

8-bit Base model:minimaxai/minimax-m... Base model:quantized:minimaxai... Conversational Custom code En Endpoints compatible Minimax m2 Quark Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amd/MiniMax-M2.7-MXFP4

MiniMax M2.7 MXFP4 Parameters and Internals

LLM Name	MiniMax M2.7 MXFP4
Repository 🤗	https://huggingface.co/amd/MiniMax-M2.7-MXFP4
Base Model(s)	MiniMaxAI/MiniMax-M2.7 MiniMaxAI/MiniMax-M2.7
Model Size	116.3b
Required VRAM	127.4 GB
Updated	2026-08-08
Maintainer	amd
Model Type	minimax_m2
Model Files	5.0 GB: 1-of-26 5.0 GB: 2-of-26 5.0 GB: 3-of-26 5.0 GB: 4-of-26 5.0 GB: 5-of-26 5.0 GB: 6-of-26 5.0 GB: 7-of-26 5.0 GB: 8-of-26 5.0 GB: 9-of-26 5.0 GB: 10-of-26 5.0 GB: 11-of-26 5.0 GB: 12-of-26 5.0 GB: 13-of-26 5.0 GB: 14-of-26 5.0 GB: 15-of-26 5.0 GB: 16-of-26 5.0 GB: 17-of-26 5.0 GB: 18-of-26 5.0 GB: 19-of-26 5.0 GB: 20-of-26 5.0 GB: 21-of-26 5.0 GB: 22-of-26 5.0 GB: 23-of-26 5.0 GB: 24-of-26 5.0 GB: 25-of-26 2.4 GB: 26-of-26
Supported Languages	en
Model Architecture	MiniMaxM2ForCausalLM
License	other
Context Length	204800
Model Max Length	204800
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Padding Token	[e~[
Vocabulary Size	200064

Rank the MiniMax M2.7 MXFP4 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 MXFP4

Best Alternatives	Context / RAM	Downloads	Likes
MiniMax M2.7 NVFP4	192K / 139.7 GB	45794	66
MiniMax M2.5 NVFP4	192K / 140.1 GB	26605	37
MiniMax M2.1 MXFP4	192K / 127.4 GB	13381	1
MiniMax M2.5 MXFP4	192K / 127.4 GB	131	1

Note: green Score (e.g. "73.2") means that the model is better than amd/MiniMax-M2.7-MXFP4.