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Description
OpenELM is a family of open-source language models created by Apple. By employing a layer-wise scaling approach, it effectively distributes parameters across the transformer model's layers, resulting in improved accuracy when compared to other open language models of a similar scale. This model is trained using datasets that are publicly accessible and is noted for achieving top-notch performance relative to its size. Furthermore, OpenELM represents a significant advancement in the pursuit of high-performing language models in the open-source community.
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
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Integrations
Runpod
Pricing Details
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Free Trial
Free Version
Pricing Details
Free
Open source
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
Apple
Founded
1976
Country
United States
Website
apple.com
Vendor Details
Company Name
TinyLlama
Website
github.com/jzhang38/TinyLlama