What are the hardware requirements for Mistral Large Instruct 2407 XMADai INT4?

Mistral Large Instruct 2407 XMADai INT4 requires approximately 31.7 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.

Who developed Mistral Large Instruct 2407 XMADai INT4 and how large is it?

Mistral Large Instruct 2407 XMADai INT4 is developed by xmadai, a model with 122.6b 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 Mistral Large Instruct 2407 XMADai INT4?

Mistral Large Instruct 2407 XMADai INT4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Large Instruct 2407 XMADai INT4 by xmadai — VRAM 31.7GB, 128K context

Name: Mistral Large Instruct 2407 XMADai INT4
Author: xmadai

Mistral Large Instruct 2407 XMADai INT4 is an open-source language model by xmadai. Features: 122.6b LLM, VRAM: 31.7GB, Context: 128K, License: other, Instruction-Based, LLM Explorer Score: 0.15.

Arxiv:2407.10032 4-bit Base model:mistralai/mistral-l... Base model:quantized:mistralai... Conversational Endpoints compatible Gptq Instruct Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/xmadai/Mistral-Large-Instruct-2407-xMADai-INT4

Mistral Large Instruct 2407 XMADai INT4 Parameters and Internals

LLM Name	Mistral Large Instruct 2407 XMADai INT4
Repository 🤗	https://huggingface.co/xmadai/Mistral-Large-Instruct-2407-xMADai-INT4
Base Model(s)	Mistral Large Instruct 2407 mistralai/Mistral-Large-Instruct-2407
Model Size	122.6b
Required VRAM	31.7 GB
Updated	2026-07-23
Maintainer	xmadai
Model Type	mistral
Instruction-Based	Yes
Model Files	33.3 GB 31.7 GB
Model Architecture	MistralForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32768
Torch Data Type	float16

Rank the Mistral Large Instruct 2407 XMADai INT4 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 Mistral Large Instruct 2407 XMADai INT4

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Large Instruct 2407	128K / 226.7 GB	4983	865
...CriminalComputing.LARGE.2026.3	128K / 217.2 GB	1981	63
Writer Large 2411 V2.1	128K / 222 GB	4	18
...istral Large Instruct 2407 FP8	128K / 123.6 GB	20	10
Mistral Large Instruct 2407	32K / 226.7 GB	13	2
...istral Large Instruct 2407 AWQ	128K / 64.5 GB	50	11

Note: green Score (e.g. "73.2") means that the model is better than xmadai/Mistral-Large-Instruct-2407-xMADai-INT4.