What are the hardware requirements for SuperHermes?

SuperHermes requires approximately 16.1 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 SuperHermes and how large is it?

SuperHermes is developed by Etherll, a model with 8b 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 SuperHermes?

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

SuperHermes by Etherll — VRAM 16.1GB, 128K context

Name: SuperHermes
Author: Etherll

SuperHermes is an open-source language model by Etherll. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Merged, LLM Explorer Score: 0.23.

Merged Model Arxiv:2306.01708 Base model:etherll/hermes-3-ll... Base model:joseph717171/llama-... Base model:rombodawg/meta-llam... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Etherll/SuperHermes

SuperHermes Parameters and Internals

LLM Name	SuperHermes
Repository 🤗	https://huggingface.co/Etherll/SuperHermes
Base Model(s)	rombodawg/Meta-Llama-3.1-8B-reuploaded Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base Etherll/Hermes-3-Llama-3.1-8B-adapter Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base rombodawg/Meta-Llama-3.1-8B-reuploaded Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base Etherll/Hermes-3-Llama-3.1-8B-adapter Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-16
Maintainer	Etherll
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the SuperHermes 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

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