What are the hardware requirements for Cogito V2 Preview Llama 405B?

Cogito V2 Preview Llama 405B requires approximately 189.7 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 Cogito V2 Preview Llama 405B and how large is it?

Cogito V2 Preview Llama 405B is developed by deepcogito, 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 Cogito V2 Preview Llama 405B?

Cogito V2 Preview Llama 405B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cogito V2 Preview Llama 405B by deepcogito — VRAM 189.7GB, 128K context

Name: Cogito V2 Preview Llama 405B
Author: deepcogito

Cogito V2 Preview Llama 405B is an open-source language model by deepcogito. Features: 405b LLM, VRAM: 189.7GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.19.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepcogito/cogito-v2-preview-llama-405B

Cogito V2 Preview Llama 405B Parameters and Internals

LLM Name	Cogito V2 Preview Llama 405B
Repository 🤗	https://huggingface.co/deepcogito/cogito-v2-preview-llama-405B
Base Model(s)	meta-llama/Llama-3.1-405B meta-llama/Llama-3.1-405B
Model Size	405b
Required VRAM	189.7 GB
Updated	2026-08-03
Maintainer	deepcogito
Model Type	llama
Model Files	4.2 GB: 1-of-191 4.2 GB: 2-of-191 3.5 GB: 3-of-191 4.6 GB: 4-of-191 4.6 GB: 5-of-191 3.5 GB: 6-of-191 4.6 GB: 7-of-191 4.6 GB: 8-of-191 3.5 GB: 9-of-191 4.6 GB: 10-of-191 4.6 GB: 11-of-191 3.5 GB: 12-of-191 4.6 GB: 13-of-191 4.6 GB: 14-of-191 3.5 GB: 15-of-191 4.6 GB: 16-of-191 4.6 GB: 17-of-191 3.5 GB: 18-of-191 4.6 GB: 19-of-191 4.6 GB: 20-of-191 3.5 GB: 21-of-191 4.6 GB: 22-of-191 4.6 GB: 23-of-191 3.5 GB: 24-of-191 4.6 GB: 25-of-191 4.6 GB: 26-of-191 3.5 GB: 27-of-191 4.6 GB: 28-of-191 4.6 GB: 29-of-191 3.5 GB: 30-of-191 4.6 GB: 31-of-191 4.6 GB: 32-of-191 3.5 GB: 33-of-191 4.6 GB: 34-of-191 4.6 GB: 35-of-191 3.5 GB: 36-of-191 4.6 GB: 37-of-191 4.6 GB: 38-of-191 3.5 GB: 39-of-191 4.6 GB: 40-of-191 4.6 GB: 41-of-191 3.5 GB: 42-of-191 4.6 GB: 43-of-191 4.6 GB: 44-of-191 3.5 GB: 45-of-191
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Cogito V2 Preview Llama 405B 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
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Multi-Language Support and Translation

Best Alternatives to Cogito V2 Preview Llama 405B

Best Alternatives	Context / RAM	Downloads	Likes
...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
Llama 3.1 405B Instruct	128K / 183.1 GB	43229	595
Meta Llama 3.1 405B Instruct	128K / 186 GB	55654	473
AGI 405B	128K / 191.2 GB	883	3
Hermes 4 405B	128K / 191.2 GB	538	92
Meta Llama 3.1 405B FP8	128K / 197.6 GB	131499	94

Note: green Score (e.g. "73.2") means that the model is better than deepcogito/cogito-v2-preview-llama-405B.