What are the hardware requirements for OpenHermes 2.5 Mistral 7B Hun GGUF?

OpenHermes 2.5 Mistral 7B Hun GGUF requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OpenHermes 2.5 Mistral 7B Hun GGUF and how large is it?

OpenHermes 2.5 Mistral 7B Hun GGUF is developed by ariel-ml, a model with 7b 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 OpenHermes 2.5 Mistral 7B Hun GGUF?

OpenHermes 2.5 Mistral 7B Hun GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OpenHermes 2.5 Mistral 7B Hun GGUF by ariel-ml — VRAM 4.4GB

Name: OpenHermes 2.5 Mistral 7B Hun GGUF
Author: ariel-ml

OpenHermes 2.5 Mistral 7B Hun GGUF is an open-source language model by ariel-ml. Features: 7b LLM, VRAM: 4.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:teknium/o... Base model:teknium/openhermes-... Conversational En Endpoints compatible Gguf Hu Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/ariel-ml/OpenHermes-2.5-Mistral-7B-hun-GGUF

OpenHermes 2.5 Mistral 7B Hun GGUF Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, gguf

Supported Languages

en (English), hu (Hungarian)

Training Details

Methodology:

Finetuned using Unsloth and Huggingface's TRL library

Training Time:

2x faster with Unsloth

LLM Name	OpenHermes 2.5 Mistral 7B Hun GGUF
Repository 🤗	https://huggingface.co/ariel-ml/OpenHermes-2.5-Mistral-7B-hun-GGUF
Base Model(s)	teknium/OpenHermes-2.5-Mistral-7B teknium/OpenHermes-2.5-Mistral-7B
Model Size	7b
Required VRAM	4.4 GB
Updated	2026-07-12
Maintainer	ariel-ml
Model Type	mistral
Model Files	4.4 GB
Supported Languages	en hu
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the OpenHermes 2.5 Mistral 7B Hun 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 OpenHermes 2.5 Mistral 7B Hun GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Pixel	8K / 4.4 GB	17	0
Qwen2 7B Alpacha Q8 0	0K / 9.1 GB	23	0
...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
Conversely Mistral 7B	0K / 0.2 GB	132	0
Mistral 7B Instruct V0.3 GGUF	0K / 1.6 GB	91691	147
CleverBoi 7B V2	0K / 0.1 GB	586	0
WizardLM 2 7B GGUF	0K / 2.7 GB	93547	83
Qwen2 7B Instruct GGUF	0K / 1.9 GB	56414	10
...hemeng Qwen Math 7b 24 1 100 1	0K / 15.2 GB	25	0
Mistral 7B Instruct V0.2 GGUF	0K / 3.1 GB	70243	511

Note: green Score (e.g. "73.2") means that the model is better than ariel-ml/OpenHermes-2.5-Mistral-7B-hun-GGUF.