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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Locally AI is an innovative application that empowers users to utilize advanced language models directly on their iPhone, iPad, or Mac without needing cloud services or an internet connection. Leveraging Apple’s MLX framework, it provides quick and efficient performance while keeping power consumption low, thus ensuring a fluid experience for chatting, creating, learning, and discovering AI capabilities across various devices. The app supports a range of open models, including Llama, Gemma, Qwen, and DeepSeek, enabling users to easily switch between them and customize outputs for various tasks. Operating entirely offline, it eliminates the need for logins and ensures that no data is collected or transmitted, thereby guaranteeing complete privacy and control over personal information. Users can engage with AI through natural dialogue, assess documents or images, and produce text within a user-friendly interface that prioritizes simplicity and responsiveness. This design fosters greater creativity and exploration, further enhancing the overall user experience.

Description

Ornith-1.0 represents an innovative family of models tailored specifically for coding tasks that require agentic capabilities. This family encompasses a wide range of models, from the compact 9B Dense versions ideal for deployment on edge devices to the expansive 397B MoE frontier-scale models designed for peak performance, including variants such as 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built upon the foundational strengths of pretrained models like Gemma 4 and Qwen 3.5, Ornith-1.0 excels in achieving top-tier performance among open-source models that are similar in size when evaluated against coding benchmarks. A significant breakthrough of this model is its self-improving training framework, which effectively learns to produce both solution rollouts and the tailored scaffolds that direct those rollouts. Rather than depending on static, human-crafted harnesses, Ornith-1.0 perceives the scaffold as a dynamic entity that evolves alongside the policy, enabling the model to optimize both the orchestration of tasks and the resulting solutions in tandem. This dual optimization approach enhances the model's adaptability and effectiveness in real-world coding scenarios.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET No 
C# No 
CSS No 
Cogito Yes 
DeepSeek Yes 
Gemma Yes 
Go No 
HTML No 
IBM Granite Yes 
Java No 
JavaScript No 
Kotlin No 
Kubernetes No 
Lua No 
Objective-C No 
Qwen Yes 
R No 
SQL No 
TypeScript No 
XML No 

Integrations

.NET Yes 
C# Yes 
CSS Yes 
Cogito No 
DeepSeek No 
Gemma No 
Go Yes 
HTML Yes 
IBM Granite No 
Java Yes 
JavaScript Yes 
Kotlin Yes 
Kubernetes Yes 
Lua Yes 
Objective-C Yes 
Qwen No 
R Yes 
SQL Yes 
TypeScript Yes 
XML Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

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 Yes 

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

Locally AI

Country

United States

Website

locallyai.app/

Vendor Details

Company Name

DeepReinforce

Country

United States

Website

deep-reinforce.com/ornith_1_0.html

Product Features

Product Features

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