What are the hardware requirements for M51Lab MiniMax M2.7 REAP 139B A10B NVFP4?

M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 requires approximately 80.1 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 M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 and how large is it?

M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 is developed by dervig, 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 M51Lab MiniMax M2.7 REAP 139B A10B NVFP4?

M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 by dervig — VRAM 80.1GB, 192K context

Name: M51Lab MiniMax M2.7 REAP 139B A10B NVFP4
Author: dervig

M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 is an open-source language model by dervig. Features: 139b LLM, VRAM: 80.1GB, Context: 192K, License: other, LLM Explorer Score: 0.24.

Arxiv:2510.13999 8-bit Base model:dervig/m51lab-minim... Base model:quantized:dervig/m5... Blackwell Compressed-tensors Conversational Custom code Endpoints compatible Fp4 Minimax Minimax m2 Moe Nvfp4 Reap Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/dervig/m51Lab-MiniMax-M2.7-REAP-139B-A10B-NVFP4

M51Lab MiniMax M2.7 REAP 139B A10B NVFP4 Parameters and Internals

LLM Name	M51Lab MiniMax M2.7 REAP 139B A10B NVFP4
Repository 🤗	https://huggingface.co/dervig/m51Lab-MiniMax-M2.7-REAP-139B-A10B-NVFP4
Base Model(s)	dervig/m51Lab-MiniMax-M2.7-REAP-139B-A10B dervig/m51Lab-MiniMax-M2.7-REAP-139B-A10B
Model Size	139b
Required VRAM	80.1 GB
Updated	2026-08-04
Maintainer	dervig
Model Type	minimax_m2
Model Files	5.0 GB: 1-of-17 5.0 GB: 2-of-17 5.0 GB: 3-of-17 5.0 GB: 4-of-17 5.0 GB: 5-of-17 5.0 GB: 6-of-17 5.0 GB: 7-of-17 5.0 GB: 8-of-17 5.0 GB: 9-of-17 5.0 GB: 10-of-17 5.0 GB: 11-of-17 5.0 GB: 12-of-17 5.0 GB: 13-of-17 5.0 GB: 14-of-17 5.0 GB: 15-of-17 3.9 GB: 16-of-17 1.2 GB: 17-of-17
Model Architecture	MiniMaxM2ForCausalLM
License	other
Context Length	196608
Model Max Length	196608
Transformers Version	4.55.0
Tokenizer Class	GPT2Tokenizer
Padding Token	[e~[
Vocabulary Size	200064
Torch Data Type	bfloat16

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