What are the hardware requirements for Mistral Large 4 1T A52B Text 4bit?

Mistral Large 4 1T A52B Text 4bit requires approximately 183.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Large 4 1T A52B Text 4bit and how large is it?

Mistral Large 4 1T A52B Text 4bit is developed by mlx-community, a model with 1049.4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral Large 4 1T A52B Text 4bit perform on standard benchmarks?

Mistral Large 4 1T A52B Text 4bit has the following published scores: LMSYS ELO 1429. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Large 4 1T A52B Text 4bit by mlx-community — VRAM 183.4GB

Name: Mistral Large 4 1T A52B Text 4bit
Author: mlx-community

Mistral Large 4 1T A52B Text 4bit is an open-source language model by mlx-community. Features: 1049.4b LLM, VRAM: 183.4GB, License: other, Quantized, LLM Explorer Score: 0.47, ELO: 1429.

4-bit 4bit Base model:mistralai/mistral-l... Base model:quantized:mistralai... Conversational Mistral large4 Mlx Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Mistral-Large-4-1T-A52B-Text-4bit

Mistral Large 4 1T A52B Text 4bit Benchmarks

LMSys ELO 1429 vs 1272 (so35) 12.3%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral Large 4 1T A52B Text 4bit Parameters and Internals

LLM Name	Mistral Large 4 1T A52B Text 4bit
Repository 🤗	https://huggingface.co/mlx-community/Mistral-Large-4-1T-A52B-Text-4bit
Base Model(s)	Mistral Large 4 1T A52B mistralai/Mistral-Large-4-1T-A52B
Model Size	1049.4b
Required VRAM	183.4 GB
Updated	2026-11-01
Maintainer	mlx-community
Model Type	mistral_large4
Model Files	3.8 GB: 1-of-143 5.3 GB: 2-of-143 3.0 GB: 3-of-143 5.3 GB: 4-of-143 3.0 GB: 5-of-143 5.3 GB: 6-of-143 3.0 GB: 7-of-143 5.3 GB: 8-of-143 3.0 GB: 9-of-143 5.3 GB: 10-of-143 3.0 GB: 11-of-143 5.3 GB: 12-of-143 3.0 GB: 13-of-143 5.3 GB: 14-of-143 3.0 GB: 15-of-143 5.3 GB: 16-of-143 3.0 GB: 17-of-143 5.3 GB: 18-of-143 3.0 GB: 19-of-143 5.3 GB: 20-of-143 3.0 GB: 21-of-143 5.3 GB: 22-of-143 3.0 GB: 23-of-143 5.3 GB: 24-of-143 3.0 GB: 25-of-143 5.3 GB: 26-of-143 3.0 GB: 27-of-143 5.3 GB: 28-of-143 3.0 GB: 29-of-143 5.3 GB: 30-of-143 3.0 GB: 31-of-143 5.3 GB: 32-of-143 3.0 GB: 33-of-143 5.3 GB: 34-of-143 3.0 GB: 35-of-143 5.3 GB: 36-of-143 3.0 GB: 37-of-143 5.3 GB: 38-of-143 3.0 GB: 39-of-143 5.3 GB: 40-of-143 3.0 GB: 41-of-143 5.3 GB: 42-of-143 3.0 GB: 43-of-143 5.3 GB: 44-of-143
Quantization Type	4bit
Model Architecture	MistralLarge4ForConditionalGeneration
License	other
Transformers Version	5.21.0.dev0

Rank the Mistral Large 4 1T A52B Text 4bit capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 4 1T A52B Text 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...tral Large 4 1T A52B Text 2bit	0K / 206.7 GB	524	1