Longcite Llama3.1 8b
LongCite-llama3.1-8b is a model trained based on Meta-Llama-3.1-8B, focusing on long context Q&A and generating fine-grained references, supporting a context window of up to 128K tokens.
Large Language Model
Transformers Supports Multiple Languages#Long context Q&A#Fine-grained reference generation#128K token window

Downloads 4,469
Release Time : 9/2/2024
Model Overview
This model is designed for long context Q&A and can provide fine-grained references when answering questions, suitable for scenarios that require processing large amounts of text information.
Model Features
Long context support
Supports a context window of up to 128K tokens and can handle ultra-long text input.
Fine-grained reference generation
Can generate detailed references when answering questions to help users trace the source of information.
Efficient inference
Optimized based on the Llama-3.1 architecture to provide efficient inference performance.
Model Capabilities
Long text understanding
Q&A generation
Reference generation
Multi-round dialogue
Use Cases
Academic research
Literature review
Help researchers quickly understand the content of a large number of literatures and generate references.
Improve the efficiency and accuracy of literature reviews.
Knowledge Q&A
Long document Q&A
Extract information from long documents and generate answers with references.
Provide accurate and traceable answers.
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