Audience

Users interested in a powerful Large Language Model solution

About LongLLaMA

This repository contains the research preview of LongLLaMA, a large language model capable of handling long contexts of 256k tokens or even more. LongLLaMA is built upon the foundation of OpenLLaMA and fine-tuned using the Focused Transformer (FoT) method. LongLLaMA code is built upon the foundation of Code Llama. We release a smaller 3B base variant (not instruction tuned) of the LongLLaMA model on a permissive license (Apache 2.0) and inference code supporting longer contexts on hugging face. Our model weights can serve as the drop-in replacement of LLaMA in existing implementations (for short context up to 2048 tokens). Additionally, we provide evaluation results and comparisons against the original OpenLLaMA models.

Pricing

Starting Price:
Free
Free Version:
Free Version available.

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Company Information

LongLLaMA
github.com/CStanKonrad/long_llama

Videos and Screen Captures

LongLLaMA Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Support
Online

LongLLaMA Frequently Asked Questions

Q: What kinds of users and organization types does LongLLaMA work with?
Q: What languages does LongLLaMA support in their product?
Q: What kind of support options does LongLLaMA offer?
Q: What type of training does LongLLaMA provide?
Q: How much does LongLLaMA cost?

LongLLaMA Product Features

LongLLaMA Additional Categories