What are the hardware requirements for Nous Hermes 2 Mixtral 8x7B DPO?

Nous Hermes 2 Mixtral 8x7B DPO requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nous Hermes 2 Mixtral 8x7B DPO and how large is it?

Nous Hermes 2 Mixtral 8x7B DPO is developed by Maqqq, a model with 7.2b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Nous Hermes 2 Mixtral 8x7B DPO perform on standard benchmarks?

Nous Hermes 2 Mixtral 8x7B DPO has the following published scores: LMSYS ELO 1164. Compare against reference models on this page or on the LLM Explorer leaderboards.

Nous Hermes 2 Mixtral 8x7B DPO by Maqqq — VRAM 14.4GB, 32K context

Name: Nous Hermes 2 Mixtral 8x7B DPO
Author: Maqqq

Nous Hermes 2 Mixtral 8x7B DPO is an open-source language model by Maqqq. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, MoE, LLM Explorer Score: 0.23, ELO: 1164.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Maqqq/Nous-Hermes-2-Mixtral-8x7B-DPO

Nous Hermes 2 Mixtral 8x7B DPO Benchmarks

LMSys ELO 1164 vs 1272 (so35) -8.5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Nous Hermes 2 Mixtral 8x7B DPO Parameters and Internals

LLM Name	Nous Hermes 2 Mixtral 8x7B DPO
Repository 🤗	https://huggingface.co/Maqqq/Nous-Hermes-2-Mixtral-8x7B-DPO
Model Size	7.2b
Required VRAM	14.4 GB
Updated	2026-08-03
Maintainer	Maqqq
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	LlamaForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Nous Hermes 2 Mixtral 8x7B DPO 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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