What are the hardware requirements for MiniMax M1 40K Hf?

MiniMax M1 40K Hf requires approximately 90.2 GB of VRAM and supports a context window of 10000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MiniMax M1 40K Hf and how large is it?

MiniMax M1 40K Hf is developed by MiniMaxAI, a model with 456.1b 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 M1 40K Hf?

MiniMax M1 40K Hf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniMax M1 40K Hf by MiniMaxAI — VRAM 90.2GB, 10000K context

Name: MiniMax M1 40K Hf
Author: MiniMaxAI

MiniMax M1 40K Hf is an open-source language model by MiniMaxAI. Features: 456.1b LLM, VRAM: 90.2GB, Context: 10000K, License: apache-2.0, LLM Explorer Score: 0.19.

Arxiv:2506.13585 Conversational Endpoints compatible Minimax Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/MiniMaxAI/MiniMax-M1-40k-hf

MiniMax M1 40K Hf Parameters and Internals

LLM Name	MiniMax M1 40K Hf
Repository 🤗	https://huggingface.co/MiniMaxAI/MiniMax-M1-40k-hf
Model Size	456.1b
Required VRAM	90.2 GB
Updated	2026-08-08
Maintainer	MiniMaxAI
Model Type	minimax
Model Files	2.5 GB: 0-of-413 2.2 GB: 1-of-413 2.3 GB: 2-of-413 2.2 GB: 3-of-413 2.1 GB: 4-of-413 2.1 GB: 5-of-413 2.2 GB: 6-of-413 2.1 GB: 7-of-413 2.1 GB: 8-of-413 2.3 GB: 9-of-413 2.1 GB: 10-of-413 2.3 GB: 11-of-413 2.1 GB: 12-of-413 2.3 GB: 13-of-413 2.1 GB: 14-of-413 2.3 GB: 15-of-413 2.1 GB: 16-of-413 2.3 GB: 17-of-413 2.1 GB: 18-of-413 2.3 GB: 19-of-413 2.1 GB: 20-of-413 2.3 GB: 21-of-413 2.1 GB: 22-of-413 2.3 GB: 23-of-413 2.1 GB: 24-of-413 2.3 GB: 25-of-413 2.1 GB: 26-of-413 2.3 GB: 27-of-413 2.1 GB: 28-of-413 2.3 GB: 29-of-413 2.1 GB: 30-of-413 2.3 GB: 31-of-413 2.1 GB: 32-of-413 2.3 GB: 33-of-413 2.1 GB: 34-of-413 2.3 GB: 35-of-413 2.1 GB: 36-of-413 2.3 GB: 37-of-413 2.1 GB: 38-of-413 2.3 GB: 39-of-413 2.1 GB: 40-of-413
Model Architecture	MiniMaxForCausalLM
License	apache-2.0
Context Length	10240000
Model Max Length	10240000
Transformers Version	4.45.2
Vocabulary Size	200064

Rank the MiniMax M1 40K Hf 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 M1 40K Hf

Best Alternatives	Context / RAM	Downloads	Likes
MiniMax Text 01 Hf	10000K / 90.4 GB	12646	11
MiniMax M1 80K Hf	10000K / 90.3 GB	271	8

Note: green Score (e.g. "73.2") means that the model is better than MiniMaxAI/MiniMax-M1-40k-hf.