What are the hardware requirements for MiniMax M2 REAP 139B A10B?

MiniMax M2 REAP 139B A10B requires approximately 140.5 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 REAP 139B A10B and how large is it?

MiniMax M2 REAP 139B A10B is developed by cerebras, a model with 139b 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 REAP 139B A10B?

MiniMax M2 REAP 139B A10B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MiniMax M2 REAP 139B A10B by cerebras — VRAM 140.5GB, 192K context

Name: MiniMax M2 REAP 139B A10B
Author: cerebras

MiniMax M2 REAP 139B A10B is an open-source language model by cerebras. Features: 139b LLM, VRAM: 140.5GB, Context: 192K, License: other, LLM Explorer Score: 0.22.

Arxiv:2510.13999 Base model:minimaxai/minimax-m... Base model:quantized:minimaxai... Compression Conversational Custom code En Endpoints compatible Fp8 Minimax Minimax m2 Moe Pruning Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cerebras/MiniMax-M2-REAP-139B-A10B

MiniMax M2 REAP 139B A10B Parameters and Internals

LLM Name	MiniMax M2 REAP 139B A10B
Repository 🤗	https://huggingface.co/cerebras/MiniMax-M2-REAP-139B-A10B
Base Model(s)	MiniMax M2 MiniMaxAI/MiniMax-M2
Model Size	139b
Required VRAM	140.5 GB
Updated	2026-07-28
Maintainer	cerebras
Model Type	minimax_m2
Model Files	5.0 GB: 1-of-29 5.0 GB: 2-of-29 5.0 GB: 3-of-29 5.0 GB: 4-of-29 5.0 GB: 5-of-29 5.0 GB: 6-of-29 5.0 GB: 7-of-29 5.0 GB: 8-of-29 5.0 GB: 9-of-29 5.0 GB: 10-of-29 5.0 GB: 11-of-29 5.0 GB: 12-of-29 5.0 GB: 13-of-29 5.0 GB: 14-of-29 5.0 GB: 15-of-29 5.0 GB: 16-of-29 5.0 GB: 17-of-29 5.0 GB: 18-of-29 5.0 GB: 19-of-29 5.0 GB: 20-of-29 5.0 GB: 21-of-29 5.0 GB: 22-of-29 5.0 GB: 23-of-29 5.0 GB: 24-of-29 5.0 GB: 25-of-29 5.0 GB: 26-of-29 5.0 GB: 27-of-29 4.3 GB: 28-of-29 1.2 GB: 29-of-29
Supported Languages	en
Model Architecture	MiniMaxM2ForCausalLM
License	other
Context Length	196608
Model Max Length	196608
Transformers Version	4.57.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	200064

Rank the MiniMax M2 REAP 139B A10B 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 REAP 139B A10B

Best Alternatives	Context / RAM	Downloads	Likes
...iMax M2.7 REAP 139B A10B NVFP4	192K / 80.1 GB	43	5
...ab MiniMax M2.7 REAP 139B A10B	192K / 205 GB	34	5
MiniMax M2.5 REAP 139B A10B	192K / 141.2 GB	68	29
MiniMax M2.1 139B	192K / 140.5 GB	29	10

Note: green Score (e.g. "73.2") means that the model is better than cerebras/MiniMax-M2-REAP-139B-A10B.