What are the hardware requirements for Meta Llama 3.1 405B 4bit?

Meta Llama 3.1 405B 4bit requires approximately 231.9 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 Meta Llama 3.1 405B 4bit and how large is it?

Meta Llama 3.1 405B 4bit is developed by mlx-community, a model with 405b 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 Meta Llama 3.1 405B 4bit?

Meta Llama 3.1 405B 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3.1 405B 4bit by mlx-community — VRAM 231.9GB, 128K context

Name: Meta Llama 3.1 405B 4bit
Author: mlx-community

Meta Llama 3.1 405B 4bit is an open-source language model by mlx-community. Features: 405b LLM, VRAM: 231.9GB, Context: 128K, License: meta, Quantized, LLM Explorer Score: 0.14.

Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3.1-405B-4bit

Meta Llama 3.1 405B 4bit Parameters and Internals

LLM Name	Meta Llama 3.1 405B 4bit
Repository 🤗	https://huggingface.co/mlx-community/Meta-Llama-3.1-405B-4bit
Model Size	405b
Required VRAM	231.9 GB
Updated	2026-07-18
Maintainer	mlx-community
Model Type	llama
Model Files	5.2 GB: 1-of-46 5.3 GB: 2-of-46 5.2 GB: 3-of-46 5.0 GB: 4-of-46 5.0 GB: 5-of-46 5.0 GB: 6-of-46 5.3 GB: 7-of-46 5.2 GB: 8-of-46 5.0 GB: 9-of-46 5.0 GB: 10-of-46 5.0 GB: 11-of-46 5.3 GB: 12-of-46 5.2 GB: 13-of-46 5.0 GB: 14-of-46 5.0 GB: 15-of-46 5.0 GB: 16-of-46 5.3 GB: 17-of-46 5.2 GB: 18-of-46 5.0 GB: 19-of-46 5.0 GB: 20-of-46 5.0 GB: 21-of-46 5.3 GB: 22-of-46 5.2 GB: 23-of-46 5.0 GB: 24-of-46 5.0 GB: 25-of-46 5.0 GB: 26-of-46 5.3 GB: 27-of-46 5.2 GB: 28-of-46 5.0 GB: 29-of-46 5.0 GB: 30-of-46 5.0 GB: 31-of-46 5.3 GB: 32-of-46 5.2 GB: 33-of-46 5.0 GB: 34-of-46 5.0 GB: 35-of-46 5.0 GB: 36-of-46 5.3 GB: 37-of-46 5.2 GB: 38-of-46 5.0 GB: 39-of-46 5.0 GB: 40-of-46 5.0 GB: 41-of-46 5.3 GB: 42-of-46 5.2 GB: 43-of-46 5.0 GB: 44-of-46 5.0 GB: 45-of-46 2.2 GB: 46-of-46
Supported Languages	en de fr it pt hi es th
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 405B 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Meta Llama 3.1 405B 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...ama 3.1 405B Instruct Bnb 4bit	128K / 214.3 GB	141	9
Meta Llama 3.1 405B Bnb 4bit	128K / 214.3 GB	407	16
Meta Llama 3.1 405B 2bit	128K / 128 GB	61	2
...ta Llama 3.1 405B Instruct FP8	128K / 197.6 GB	55370	165
Llama 3.1 405B Instruct FP8	128K / 209.2 GB	4760	16
Meta Llama 3.1 405B	128K / 186 GB	521433	808
Llama 3.1 405B	128K / 183.1 GB	124477	982
Llama 3.1 405B FP8	128K / 193.4 GB	472107	123
Hermes 4 405B GGUF	128K / GB	2601	4
AGI 405B	128K / 191.2 GB	883	3

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Meta-Llama-3.1-405B-4bit.