What are the hardware requirements for Nous Hermes 2 Mixtral 8x7B DPO 4bit?

Nous Hermes 2 Mixtral 8x7B DPO 4bit requires approximately 10.6 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 4bit and how large is it?

Nous Hermes 2 Mixtral 8x7B DPO 4bit is developed by mlx-community. 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 4bit?

Nous Hermes 2 Mixtral 8x7B DPO 4bit 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 4bit by mlx-community — VRAM 10.6GB, 32K context

Name: Nous Hermes 2 Mixtral 8x7B DPO 4bit
Author: mlx-community

Nous Hermes 2 Mixtral 8x7B DPO 4bit is an open-source language model by mlx-community. Features: LLM, VRAM: 10.6GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

4bit Base model:finetune:mistralai/... Base model:mistralai/mixtral-8... Chatml Distillation Dpo En Finetuned Gpt4 Instruct Mixtral Mlx Moe Quantized Region:us Rlhf Synthetic data

Model Card on HF 🤗: https://huggingface.co/mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit

Nous Hermes 2 Mixtral 8x7B DPO 4bit Parameters and Internals

Model Type

text generation, instruction following

Additional Notes

Converted to MLX format.

LLM Name	Nous Hermes 2 Mixtral 8x7B DPO 4bit
Repository 🤗	https://huggingface.co/mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit
Base Model(s)	mistralai/Mixtral-8x7B-v0.1 mistralai/Mixtral-8x7B-v0.1
Required VRAM	10.6 GB
Updated	2026-08-03
Maintainer	mlx-community
Model Type	mixtral
Model Files	16.1 GB 10.6 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Padding Token	</s>
Vocabulary Size	32002
Torch Data Type	bfloat16

Rank the Nous Hermes 2 Mixtral 8x7B DPO 4bit 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 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...oE V0.1 DPO F16 4.0bpw H6 EXL2	195K / 31.3 GB	7	0
...oE V0.1 DPO F16 5.0bpw H6 EXL2	195K / 38.8 GB	6	0
...2 Mixtral 8x22b 6.0bpw H8 EXL2	64K / 105.8 GB	2	1
WizardLM 2 8x22 EXL2 4.0bpw	64K / 70.9 GB	7	1
...M 2 8x22B Beige 5.0bpw H6 EXL2	64K / 88.5 GB	8	0
...M 2 8x22B Beige 4.0bpw H6 EXL2	64K / 70.8 GB	6	0
...M 2 8x22B Beige 2.4bpw H6 EXL2	64K / 42.7 GB	5	0
...M 2 8x22B Beige 3.0bpw H6 EXL2	64K / 53.2 GB	5	0
...rdLM 2 8x22B Beige EXL2 5.0bpw	64K / 88.4 GB	5	0
...B Instruct V0.1 8.0bpw H8 EXL2	64K / 120.2 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit.