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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Originally created for Firefox, Minimem has evolved to decrease the memory usage of any application. Operating in the background, it can be configured to enhance numerous processes through a user-friendly graphical interface. Unlike other memory optimization tools, Minimem allows users to have complete authority over the applications they wish to optimize, including the timing and frequency of optimizations, as well as the option to perform memory optimization only when necessary. It achieves memory optimization by eliminating unnecessary memory pages from selected processes. Users can define the intervals at which optimization occurs, with a default of every 30 seconds, while employing an advanced pooling method to maintain low CPU usage for Minimem itself. Consequently, this functionality allows applications to reload those pages when needed, significantly improving overall system performance during memory-intensive situations. The flexibility and control offered by Minimem make it a standout choice for users looking to manage their system's memory effectively.

Description

The TinyLlama initiative seeks to pretrain a Llama model with 1.1 billion parameters using a dataset of 3 trillion tokens. With the right optimizations, this ambitious task can be completed in a mere 90 days, utilizing 16 A100-40G GPUs. We have maintained the same architecture and tokenizer as Llama 2, ensuring that TinyLlama is compatible with various open-source projects that are based on Llama. Additionally, the model's compact design, consisting of just 1.1 billion parameters, makes it suitable for numerous applications that require limited computational resources and memory. This versatility enables developers to integrate TinyLlama seamlessly into their existing frameworks and workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

RunPod

Integrations

RunPod

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kerkia

Website

www.kerkia.com/p/blog-page.html

Vendor Details

Company Name

TinyLlama

Website

github.com/jzhang38/TinyLlama

Product Features

Product Features

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