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

Nous Hermes 2 Mixtral 8x7B DPO GGUF requires approximately 17.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Nous Hermes 2 Mixtral 8x7B DPO GGUF is developed by TheBloke. 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 Nous Hermes 2 Mixtral 8x7B DPO GGUF?

Nous Hermes 2 Mixtral 8x7B DPO GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nous Hermes 2 Mixtral 8x7B DPO GGUF by TheBloke — VRAM 17.3GB

Name: Nous Hermes 2 Mixtral 8x7B DPO GGUF
Author: TheBloke

Nous Hermes 2 Mixtral 8x7B DPO GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 17.3GB, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.12.

Base model:nousresearch/nous-h... Base model:quantized:nousresea... Chatml Conversational Distillation Dpo En Finetuned Gguf Gpt4 Instruct Mixtral Moe Quantized Region:us Rlhf Synthetic data

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

Nous Hermes 2 Mixtral 8x7B DPO GGUF Parameters and Internals

LLM Name	Nous Hermes 2 Mixtral 8x7B DPO GGUF
Repository 🤗	https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-GGUF
Model Name	Nous Hermes 2 Mixtral 8X7B DPO
Model Creator	NousResearch
Base Model(s)	Nous Hermes 2 Mixtral 8x7B DPO NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
Required VRAM	17.3 GB
Updated	2026-07-18
Maintainer	TheBloke
Model Type	mixtral
Model Files	17.3 GB 22.5 GB 26.4 GB 28.4 GB 32.2 GB 33.2 GB 38.4 GB 49.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Nous Hermes 2 Mixtral 8x7B DPO GGUF 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 Nous Hermes 2 Mixtral 8x7B DPO GGUF

Best Alternatives	Context / RAM	Downloads	Likes
ComicBot V.2 Gguf	32K / 5 GB	54	0
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Marco O1 GGUF	0K / 3 GB	262	6
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
GOAT Llama3.1 V0.1	0K / 0.2 GB	39	3
Mixtral 8x7B V0.1 GGUF	0K / 15.6 GB	4192	438

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-GGUF.