JabRef
v6
v6v5v4
v6
v6v5v4
  • JabRef Bibliography Management
  • Installation
  • Getting started
  • Collect
    • Add entry manually
    • Add entry using an ID
    • Add entry using reference text
    • Searching externally using Online Services
    • Add entry using PDFs
    • Add PDFs to an entry
    • Browser Extension
    • Import
      • Custom import filters
      • Import inspection window
  • Organize
    • Edit an entry
    • Groups
    • Keywords
    • Mark and grade
    • Comment on an entry
    • Searching within the library
    • Complete information using online databases
    • Manage associated files
    • Manage field names and their content
    • Best practices
    • Cleanup entries
    • Check integrity
    • Find duplicates
    • Merge entries
    • Save actions
  • Cite
    • BibTeX and biblatex
    • Pushing to external editor application
    • Export to Microsoft Word
    • OpenOffice/LibreOffice integration
  • Share
    • Sharing a Bib(la)TeX Library
    • Shared SQL Database
      • Migration of pre-3.6 SQL databases into a shared SQL database
    • Export
      • Custom export filters
    • Send as email
  • AI functionality
    • AI providers and API keys
    • AI preferences
    • AI troubleshooting
    • Running a local LLM model
  • Configuration
    • Customize the citation key generator
    • Customize entry types
    • Customize general fields
    • Customize key bindings
    • Library properties
    • Entry preview setup
    • Manage external file types
    • Manage protected terms
    • The string editor
  • Advanced information
    • Main Window
    • Entry Editor
      • Links to other entries
      • The Bibtex / Biblatex source tab
      • The 'owner' field
      • Time stamp field
      • LaTeX Citations Tab
    • About BibTeX and its fields
    • Strings
    • Field content selector
    • URL and DOI links in JabRef
    • Command line use and options
    • Automatic Backup (.sav and .bak) and Autosave
    • XMP metadata support in JabRef
    • Remote operation
    • Custom themes
    • Journal abbreviations
    • New subdatabase based on AUX file
    • How to expand first names of an entry
    • Debugging your library file
    • Resources
    • License
    • Knowledge
      • MS Office Bibliography XML format
      • Comparison of the Medline (txt), Medline (xml), and RIS format
      • EndNote Export Filter
  • Frequently Asked Questions
    • Linux
    • Mac OS X
    • Windows
  • Discussion Forum
  • Contribute to JabRef
    • How to Improve the Help Page
    • How to translate the JabRef User Interface
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  • "Failed to load PyTorch native library" while trying the AI chat
  • JabRef closed or crashed in the middle of downloading the embedding model

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  1. AI functionality

AI troubleshooting

PreviousAI preferencesNextRunning a local LLM model

Last updated 5 months ago

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"Failed to load PyTorch native library" while trying the AI chat

If you encounter this error, download the latest . This installation is only required for AI features in JabRef, all other features can work without it. Also, if multiple installations of CUDA are installed, JabRef's Version needs to be added to the PATH first. For example, on Windows this would be adding C:\Users\USER\.djl.ai\pytorch\CUDA-VERSION to the Environment Variables. See .

If you still have issues, the might be of help.

JabRef closed or crashed in the middle of downloading the embedding model

Do not worry! You simply need to delete the embedding model cache.

The name of the folder is .djl.ai, and it is located in your home directory.

Visual C++ redistributable from Microsoft
how to edit environment variables on Windows 10 or 11
DJL documentation