OpenHermes-13B vs Civitai
Dive into the comparison of OpenHermes-13B vs Civitai and discover which AI Model Generation tool stands out. We examine alternatives, upvotes, features, reviews, pricing, and beyond.
In a comparison between OpenHermes-13B and Civitai, which one comes out on top?
When we compare OpenHermes-13B and Civitai, two exceptional model generation tools powered by artificial intelligence, and place them side by side, several key similarities and differences come to light. Civitai is the clear winner in terms of upvotes. The number of upvotes for Civitai stands at 7, and for OpenHermes-13B it's 6.
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OpenHermes-13B
What is OpenHermes-13B?
Discover OpenHermes-13B, an advanced fine-tuned model from teknium that leverages the robust GPT-4 generated dataset collected from diverse AI solutions. Meticulously trained on a fully open-source dataset comprising 242,000 entries, OpenHermes-13B was crafted using contributions from industry leaders including Teknium, the WizardLM Team, and Microsoft to name a few.
This model aims to enhance text generation via open datasets, specifically engineered to remove AI disclaimers and refusals to streamline communication outputs. Its training process, facilitated by a16z's sponsorship and main_horse's compute resources, embraces transparency by allowing public access to the WANDB Project. Dive into the model's impressive benchmark results, its average score comparison with similar models, and explore the particular hyperparameters that have shaped its training.
Civitai
What is Civitai?
Civitai is a platform that makes it easy for people to share and discover resources for creating AI art. Our users can upload and share custom models that they've trained using their own data, or browse and download models created by other users. These models can then be used with AI art software to generate unique works of art.
Cool, what's a "Model?" Put simply, a "model" refers to a machine learning algorithm or set of algorithms that have been trained to generate art or media in a particular style. This can include images, music, video, or other types of media.
To create a model for generating art, a dataset of examples in the desired style is first collected and used to train the model. The model is then able to generate new art by learning patterns and characteristics from the examples it was trained on. The resulting art is not an exact copy of any of the examples in the training dataset, but rather a new piece of art that is influenced by the style of the training examples.
Models can be trained to generate a wide range of styles, from photorealistic images to abstract patterns, and can be used to create art that is difficult or time-consuming for humans to produce manually.
OpenHermes-13B Upvotes
Civitai Upvotes
OpenHermes-13B Top Features
Advanced Training Dataset: Leveraged the Hermes dataset with fine-tuning on GPT-4 generated data across the AI landscape.
Open Source Contribution: Emphasized an open-source approach with datasets from multiple AI industry contributors.
Strategic Filtering: Removed specific content such as OpenAI refusals and disclaimers to improve output quality.
Benchmark Performance Analysis: Showcased benchmark results across different suites like GPT4ALL, BigBench, and AGI-Eval.
Transparent Training Procedure: Detailed the training process with publicly available WANDB Project logs.
Civitai Top Features
No top features listedOpenHermes-13B Category
- Model Generation
Civitai Category
- Model Generation
OpenHermes-13B Pricing Type
- Freemium
Civitai Pricing Type
- Free