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Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Runpod
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
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
No
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
Kerkia
Website
www.kerkia.com/p/blog-page.html
Vendor Details
Company Name
TinyLlama
Website
github.com/jzhang38/TinyLlama