What are the hardware requirements for Hermes 4 70B FP8?

Hermes 4 70B FP8 requires approximately 72.7 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 Hermes 4 70B FP8 and how large is it?

Hermes 4 70B FP8 is developed by NousResearch, a model with 70b 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 70B FP8?

Hermes 4 70B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hermes 4 70B FP8 by NousResearch — VRAM 72.7GB, 128K context

Name: Hermes 4 70B FP8
Author: NousResearch

Hermes 4 70B FP8 is an open-source language model by NousResearch. Features: 70b LLM, VRAM: 72.7GB, Context: 128K, License: llama3, LLM Explorer Score: 0.23.

Arxiv:2508.18255 Atropos Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Chat Chatml Compressed-tensors 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

Model Card on HF 🤗: https://huggingface.co/NousResearch/Hermes-4-70B-FP8

Hermes 4 70B FP8 Parameters and Internals

LLM Name	Hermes 4 70B FP8
Repository 🤗	https://huggingface.co/NousResearch/Hermes-4-70B-FP8
Base Model(s)	meta-llama/Meta-Llama-3.1-70B meta-llama/Meta-Llama-3.1-70B
Model Size	70b
Required VRAM	72.7 GB
Updated	2026-07-05
Maintainer	NousResearch
Model Type	llama
Model Files	4.8 GB: 1-of-15 5.0 GB: 2-of-15 4.9 GB: 3-of-15 4.9 GB: 4-of-15 4.9 GB: 5-of-15 5.0 GB: 6-of-15 4.9 GB: 7-of-15 4.9 GB: 8-of-15 4.9 GB: 9-of-15 5.0 GB: 10-of-15 4.9 GB: 11-of-15 4.9 GB: 12-of-15 4.9 GB: 13-of-15 5.0 GB: 14-of-15 3.8 GB: 15-of-15
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Hermes 4 70B FP8 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

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