Abstract
Scientific multimodal instruction tuning with large language and vision models.
- Developers:
-
Horawalavithana, Sameera [1] ; Munikoti, Sai [2] ; Stewart, Ian [2] ; Kvinge, Henry [2]
- Pacific Northwest National Laboratory
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Release Date:
- 2025-01-23
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
BSD 2-clause "Simplified" License
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC05-76RL01830
- Code ID:
- 149966
- Site Accession Number:
- Battelle IPID 32968-E
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Country of Origin:
- United States
Citation Formats
Horawalavithana, Sameera, Munikoti, Sai, Stewart, Ian, and Kvinge, Henry.
pnnl/SciTune.
Computer Software.
https://github.com/pnnl/scitune.
USDOE.
23 Jan. 2025.
Web.
doi:10.11578/dc.20250123.1.
Horawalavithana, Sameera, Munikoti, Sai, Stewart, Ian, & Kvinge, Henry.
(2025, January 23).
pnnl/SciTune.
[Computer software].
https://github.com/pnnl/scitune.
https://doi.org/10.11578/dc.20250123.1.
Horawalavithana, Sameera, Munikoti, Sai, Stewart, Ian, and Kvinge, Henry.
"pnnl/SciTune." Computer software.
January 23, 2025.
https://github.com/pnnl/scitune.
https://doi.org/10.11578/dc.20250123.1.
@misc{
doecode_149966,
title = {pnnl/SciTune},
author = {Horawalavithana, Sameera and Munikoti, Sai and Stewart, Ian and Kvinge, Henry},
abstractNote = {Scientific multimodal instruction tuning with large language and vision models.},
doi = {10.11578/dc.20250123.1},
url = {https://doi.org/10.11578/dc.20250123.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20250123.1}},
year = {2025},
month = {jan}
}