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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
No images available
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