What are the hardware requirements for Meta Llama 3.1 405B 2bit?

Meta Llama 3.1 405B 2bit requires approximately 128 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 2bit and how large is it?

Meta Llama 3.1 405B 2bit 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 2bit?

Meta Llama 3.1 405B 2bit 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 2bit by mlx-community — VRAM 128GB, 128K context

Name: Meta Llama 3.1 405B 2bit
Author: mlx-community

Meta Llama 3.1 405B 2bit is an open-source language model by mlx-community. Features: 405b LLM, VRAM: 128GB, Context: 128K, License: meta, Quantized, LLM Explorer Score: 0.13.

Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3.1-405B-2bit

Meta Llama 3.1 405B 2bit Parameters and Internals

LLM Name	Meta Llama 3.1 405B 2bit
Repository 🤗	https://huggingface.co/mlx-community/Meta-Llama-3.1-405B-2bit
Model Size	405b
Required VRAM	128 GB
Updated	2026-07-21
Maintainer	mlx-community
Model Type	llama
Model Files	5.4 GB: 1-of-25 5.4 GB: 2-of-25 5.2 GB: 3-of-25 5.3 GB: 4-of-25 5.3 GB: 5-of-25 5.3 GB: 6-of-25 5.2 GB: 7-of-25 5.3 GB: 8-of-25 5.3 GB: 9-of-25 5.3 GB: 10-of-25 5.2 GB: 11-of-25 5.3 GB: 12-of-25 5.3 GB: 13-of-25 5.3 GB: 14-of-25 5.2 GB: 15-of-25 5.3 GB: 16-of-25 5.3 GB: 17-of-25 5.3 GB: 18-of-25 5.2 GB: 19-of-25 5.3 GB: 20-of-25 5.3 GB: 21-of-25 5.3 GB: 22-of-25 5.2 GB: 23-of-25 5.3 GB: 24-of-25 1.2 GB: 25-of-25
Supported Languages	en de fr it pt hi es th
Quantization Type	2bit
Model Architecture	LlamaForCausalLM
License	meta
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3.1 405B 2bit 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 Meta Llama 3.1 405B 2bit

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 4bit	128K / 231.9 GB	180	4
...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-2bit.