Llama3-ChatQA-1.5-8B Model card

Model Information

Model Summary

Author: NVIDIA

Description

Llama3-ChatQA-1.5 excels at conversational question answering (QA) and retrieval-augmented generation (RAG). Llama3-ChatQA-1.5 is developed using an improved training recipe from ChatQA paper, and it is built on top of Llama-3 base model. Specifically, we incorporate more conversational QA data to enhance its tabular and arithmetic calculation capability. Llama3-ChatQA-1.5 has two variants: Llama3-ChatQA-1.5-8B and Llama3-ChatQA-1.5-70B.

Terms of Use

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Additional Information: META LLAMA 3 COMMUNITY LICENSE AGREEMENT.

Reference:

@article{liu2024chatqa,
  title={ChatQA: Surpassing GPT-4 on Conversational QA and RAG},
  author={Liu, Zihan and Ping, Wei and Roy, Rajarshi and Xu, Peng and Lee, Chankyu and Shoeybi, Mohammad and Catanzaro, Bryan},
  journal={arXiv preprint arXiv:2401.10225},
  year={2024}}

Resources and Technical Documentation

• ChatQA Project Page
• Technical Report

Model Architecture:

Architecture Type: Transformer Decoder Network

Network Architecture: Llama-3

Inputs and outputs

Input:

Input Type(s): Text

Input Format(s): String

Input Parameters: One-Dimensional (1D)

Output:

Output Type(s): Text

Output Format(s): String

Output Parameters: One-Dimensional (1D)

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