What are the hardware requirements for Hermes 4 70B 5bit?

Hermes 4 70B 5bit requires approximately 48.6 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 5bit and how large is it?

Hermes 4 70B 5bit is developed by mlx-community, 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 5bit?

Hermes 4 70B 5bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hermes 4 70B 5bit by mlx-community — VRAM 48.6GB, 128K context

Name: Hermes 4 70B 5bit
Author: mlx-community

Hermes 4 70B 5bit is an open-source language model by mlx-community. Features: 70b LLM, VRAM: 48.6GB, Context: 128K, License: llama3, Quantized, LLM Explorer Score: 0.2.

5-bit 5bit Atropos Base model:nousresearch/hermes... Base model:quantized:nousresea... Chat Chatml Conversational Dataforge En Finetuned Function calling Hybrid-mode Instruct Json mode Llama Llama-3.1 Long context Mlx Quantized Reasoning Region:us Roleplaying Safetensors Sharded Structured outputs Tensorflow Tool use

Model Card on HF 🤗: https://huggingface.co/mlx-community/Hermes-4-70B-5bit

Hermes 4 70B 5bit Parameters and Internals

LLM Name	Hermes 4 70B 5bit
Repository 🤗	https://huggingface.co/mlx-community/Hermes-4-70B-5bit
Base Model(s)	Hermes 4 70B NousResearch/Hermes-4-70B
Model Size	70b
Required VRAM	48.6 GB
Updated	2026-07-23
Maintainer	mlx-community
Model Type	llama
Model Files	5.3 GB: 1-of-10 5.3 GB: 2-of-10 5.3 GB: 3-of-10 5.3 GB: 4-of-10 5.3 GB: 5-of-10 5.3 GB: 6-of-10 5.3 GB: 7-of-10 5.3 GB: 8-of-10 5.3 GB: 9-of-10 0.9 GB: 10-of-10
Supported Languages	en
Quantization Type	5bit
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Hermes 4 70B 5bit 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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