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Description
Magic’s LTM-1 technology facilitates context windows that are 50 times larger than those typically used in transformer models. As a result, Magic has developed a Large Language Model (LLM) that can effectively process vast amounts of contextual information when providing suggestions. This advancement allows our coding assistant to access and analyze your complete code repository. With the ability to reference extensive factual details and their own prior actions, larger context windows can significantly enhance the reliability and coherence of AI outputs. We are excited about the potential of this research to further improve user experience in coding assistance applications.
Description
This repository showcases the research preview of LongLLaMA, an advanced large language model that can manage extensive contexts of up to 256,000 tokens or potentially more. LongLLaMA is developed on the OpenLLaMA framework and has been fine-tuned utilizing the Focused Transformer (FoT) technique. The underlying code for LongLLaMA is derived from Code Llama. We are releasing a smaller 3B base variant of the LongLLaMA model, which is not instruction-tuned, under an open license (Apache 2.0), along with inference code that accommodates longer contexts available on Hugging Face. This model's weights can seamlessly replace LLaMA in existing systems designed for shorter contexts, specifically those handling up to 2048 tokens. Furthermore, we include evaluation results along with comparisons to the original OpenLLaMA models, thereby providing a comprehensive overview of LongLLaMA's capabilities in the realm of long-context processing.
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Integrations
Quickwork
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Pricing Details
Free
Free Trial
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Free Version
Yes
Deployment
Web-Based
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On-Premises
Yes
iPhone App
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iPad App
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Android App
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Windows
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Mac
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Linux
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Chromebook
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Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
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Mac
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Linux
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Chromebook
No
Customer Support
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Live Rep (24/7)
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Online Support
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Customer Support
Business Hours
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Live Rep (24/7)
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Online Support
Yes
Types of Training
Training Docs
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Webinars
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Live Training (Online)
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In Person
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Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Magic AI
Founded
2022
Country
United States
Website
magic.dev/blog/ltm-1
Vendor Details
Company Name
LongLLaMA
Website
github.com/CStanKonrad/long_llama