What are the hardware requirements for Nous Hermes 2 SOLAR 10.7B GGUF?

Nous Hermes 2 SOLAR 10.7B GGUF requires approximately 4.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Nous Hermes 2 SOLAR 10.7B GGUF and how large is it?

Nous Hermes 2 SOLAR 10.7B GGUF is developed by TheBloke, a model with 10.7b 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 Nous Hermes 2 SOLAR 10.7B GGUF?

Nous Hermes 2 SOLAR 10.7B 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 SOLAR 10.7B GGUF by TheBloke — VRAM 4.5GB

Name: Nous Hermes 2 SOLAR 10.7B GGUF
Author: TheBloke

Nous Hermes 2 SOLAR 10.7B GGUF is an open-source language model by TheBloke. Features: 10.7b LLM, VRAM: 4.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Base model:nousresearch/nous-h... Base model:quantized:nousresea... Chatml Distillation En Finetuned Gguf Gpt4 Instruct Quantized Region:us Solar Synthetic data

Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-2-SOLAR-10.7B-GGUF

Nous Hermes 2 SOLAR 10.7B GGUF Parameters and Internals

LLM Name	Nous Hermes 2 SOLAR 10.7B GGUF
Repository 🤗	https://huggingface.co/TheBloke/Nous-Hermes-2-SOLAR-10.7B-GGUF
Model Name	Nous Hermes 2 SOLAR 10.7B
Model Creator	NousResearch
Base Model(s)	NousResearch/Nous-Hermes-2-SOLAR-10.7B NousResearch/Nous-Hermes-2-SOLAR-10.7B
Model Size	10.7b
Required VRAM	4.5 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	solar
Model Files	4.5 GB 5.7 GB 5.2 GB 4.7 GB 6.1 GB 6.5 GB 6.1 GB 7.4 GB 7.6 GB 7.4 GB 8.8 GB 11.4 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Nous Hermes 2 SOLAR 10.7B GGUF capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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