What are the hardware requirements for Unsloth OpenHermes F16?

Unsloth OpenHermes F16 requires approximately 14.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Unsloth OpenHermes F16 and how large is it?

Unsloth OpenHermes F16 is developed by richie-ghost, 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 Unsloth OpenHermes F16?

Unsloth OpenHermes F16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Unsloth OpenHermes F16 by richie-ghost — VRAM 14.5GB

Name: Unsloth OpenHermes F16
Author: richie-ghost

Unsloth OpenHermes F16 is an open-source language model by richie-ghost. Features: 7b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:quantized:teknium/o... Base model:teknium/openhermes-... Conversational En Endpoints compatible Fp16 Gguf Mistral Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/richie-ghost/unsloth_openHermes_f16

Unsloth OpenHermes F16 Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Unsloth OpenHermes F16
Repository 🤗	https://huggingface.co/richie-ghost/unsloth_openHermes_f16
Base Model(s)	teknium/OpenHermes-2.5-Mistral-7B teknium/OpenHermes-2.5-Mistral-7B
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-21
Maintainer	richie-ghost
Model Type	mistral
Model Files	14.5 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	fp16\|gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Unsloth OpenHermes F16 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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...ral 7B Instruct V0.2 Llamafile	0K / 14.5 GB	8850	25
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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 richie-ghost/unsloth_openHermes_f16.