What are the hardware requirements for Hermes 4 405B?

Hermes 4 405B requires approximately 191.2 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 Hermes 4 405B and how large is it?

Hermes 4 405B is developed by unsloth, 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 Hermes 4 405B?

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

Hermes 4 405B by unsloth — VRAM 191.2GB, 128K context

Name: Hermes 4 405B
Author: unsloth

Hermes 4 405B is an open-source language model by unsloth. Features: 405b LLM, VRAM: 191.2GB, Context: 128K, License: llama3, LLM Explorer Score: 0.2.

Arxiv:2508.18255 Atropos Base model:finetune:nousresear... Base model:nousresearch/hermes... Chat Chatml Conversational Dataforge En Endpoints compatible Finetuned Function calling Hybrid-mode Instruct Json mode Llama Llama-3.1 Long context Reasoning Region:us Roleplaying Safetensors Sharded Structured outputs Tensorflow Tool use Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Hermes-4-405B

Hermes 4 405B Parameters and Internals

LLM Name	Hermes 4 405B
Repository 🤗	https://huggingface.co/unsloth/Hermes-4-405B
Base Model(s)	Hermes 4 405B NousResearch/Hermes-4-405B
Model Size	405b
Required VRAM	191.2 GB
Updated	2026-07-31
Maintainer	unsloth
Model Type	llama
Model Files	4.8 GB: 1-of-191 4.0 GB: 2-of-191 4.6 GB: 3-of-191 4.6 GB: 4-of-191 3.5 GB: 5-of-191 4.6 GB: 6-of-191 4.6 GB: 7-of-191 3.5 GB: 8-of-191 4.6 GB: 9-of-191 4.6 GB: 10-of-191 3.5 GB: 11-of-191 4.6 GB: 12-of-191 4.6 GB: 13-of-191 3.5 GB: 14-of-191 4.6 GB: 15-of-191 4.6 GB: 16-of-191 3.5 GB: 17-of-191 4.6 GB: 18-of-191 4.6 GB: 19-of-191 3.5 GB: 20-of-191 4.6 GB: 21-of-191 4.6 GB: 22-of-191 3.5 GB: 23-of-191 4.6 GB: 24-of-191 4.6 GB: 25-of-191 3.5 GB: 26-of-191 4.6 GB: 27-of-191 4.6 GB: 28-of-191 3.5 GB: 29-of-191 4.6 GB: 30-of-191 4.6 GB: 31-of-191 3.5 GB: 32-of-191 4.6 GB: 33-of-191 4.6 GB: 34-of-191 3.5 GB: 35-of-191 4.6 GB: 36-of-191 4.6 GB: 37-of-191 3.5 GB: 38-of-191 4.6 GB: 39-of-191 4.6 GB: 40-of-191 3.5 GB: 41-of-191 4.6 GB: 42-of-191 4.6 GB: 43-of-191 3.5 GB: 44-of-191 4.6 GB: 45-of-191
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	131072
Model Max Length	131072
Transformers Version	4.55.4
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Hermes 4 405B 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 Hermes 4 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
AGI 405B	128K / 191.2 GB	883	3
Hermes 4 405B	128K / 191.2 GB	538	92
Llama 3.1 405B Instruct	128K / 183.1 GB	43229	595
Meta Llama 3.1 405B Instruct	128K / 186 GB	55654	473
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 unsloth/Hermes-4-405B.