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Description

Hermes 4 represents the cutting-edge advancement in Nous Research's series of neutrally aligned, steerable foundational models, featuring innovative hybrid reasoners that can fluidly transition between creative, expressive outputs and concise, efficient responses tailored to user inquiries. This model is engineered to prioritize user and system commands over any corporate ethical guidelines, resulting in interactions that are more conversational and engaging, avoiding a tone that feels overly authoritative or ingratiating, while fostering opportunities for roleplay and imaginative engagement. By utilizing a specific tag within prompts, users can activate a deeper level of reasoning that is resource-intensive, allowing them to address intricate challenges, all while maintaining efficiency for simpler tasks. With a training dataset 50 times larger than that of its predecessor, Hermes 3, much of which was synthetically produced using Atropos, Hermes 4 exhibits remarkable enhancements in performance. Additionally, this evolution not only improves accuracy but also broadens the range of applications for which the model can be effectively employed.

Description

Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Nebius Token Factory Yes 
Batteries Included No 
BlueFlame AI No 
Code Llama No 
CompactifAI No 
Deep Infra No 
DockClaw No 
Eldil AI No 
FalkorDB No 
Jan No 
LFM2.5 No 
Private Mind No 
Ragas No 
Scout No 
SheetMagic No 
SurePath AI No 
Unframe No 
WebLLM No 
amazee.ai No 
oMLX No 

Integrations

Nebius Token Factory Yes 
Batteries Included Yes 
BlueFlame AI Yes 
Code Llama Yes 
CompactifAI Yes 
Deep Infra Yes 
DockClaw Yes 
Eldil AI Yes 
FalkorDB Yes 
Jan Yes 
LFM2.5 Yes 
Private Mind Yes 
Ragas Yes 
Scout Yes 
SheetMagic Yes 
SurePath AI Yes 
Unframe Yes 
WebLLM Yes 
amazee.ai Yes 
oMLX Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Nous Research

Founded

2023

Country

United States

Website

hermes4.nousresearch.com

Vendor Details

Company Name

Meta

Founded

2004

Country

United States

Website

www.llama.com

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