What are the hardware requirements for Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B?

Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B requires approximately 87.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B by DavidAU — VRAM 87.8GB, 128K context

Name: Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B
Author: DavidAU

Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B is an open-source language model by DavidAU. Features: 43.7b LLM, VRAM: 87.8GB, Context: 128K, License: apache-2.0, MoE, Code Generating, LLM Explorer Score: 0.2.

Arxiv:2506.10910 2x24b Ar Autotrain compatible Base model:merge:mistralai/dev... Base model:merge:mistralai/mag... Base model:mistralai/devstral-... Base model:mistralai/magistral... Bn Chat Code Code generation Codegen Coder Codestral Coding Conversational De Devstral En Endpoints compatible Es Fa Fr Hi Id It Ja Ko Magistral Merge Mistral Mistral moe Mixtral Mixture of experts Moe Ms Ne Pl Pt Reasoning Region:us Ro Ru Safetensors Sharded Sr Sv Tensorflow Thinking Tr Uk Vi Zh

Model Card on HF 🤗: https://huggingface.co/DavidAU/Mistral-2x24B-MOE-Magistral-2506-Devstral-2507-1.1-Coder-Reasoning-Ultimate-44B

Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B Parameters and Internals

LLM Name	Mistral 2x24B MoE Magistral 2506 Devstral 2507 1.1 Coder Reasoning Ultimate 44B
Repository 🤗	https://huggingface.co/DavidAU/Mistral-2x24B-MOE-Magistral-2506-Devstral-2507-1.1-Coder-Reasoning-Ultimate-44B
Base Model(s)	Devstral Small 2507 Magistral Small 2506 mistralai/Devstral-Small-2507 mistralai/Magistral-Small-2506
Model Size	43.7b
Required VRAM	87.8 GB
Updated	2025-09-23
Maintainer	DavidAU
Model Type	mixtral
Model Files	4.9 GB: 1-of-18 5.0 GB: 2-of-18 5.0 GB: 3-of-18 4.9 GB: 4-of-18 5.0 GB: 5-of-18 5.0 GB: 6-of-18 4.9 GB: 7-of-18 5.0 GB: 8-of-18 5.0 GB: 9-of-18 4.9 GB: 10-of-18 5.0 GB: 11-of-18 5.0 GB: 12-of-18 4.9 GB: 13-of-18 5.0 GB: 14-of-18 5.0 GB: 15-of-18 4.9 GB: 16-of-18 5.0 GB: 17-of-18 3.4 GB: 18-of-18
Supported Languages	en fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Generates Code	Yes
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<s>
Vocabulary Size	131072
Torch Data Type	bfloat16

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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