Llmlingua 2 Bert Base Multilingual Cased Meetingbank
Developed by Microsoft, Llmlingua 2 Bert Base Multilingual Cased Meetingbank is a multilingual BERT base model finetuned for token classification in task-agnostic prompt compression, particularly suited for compressing meeting transcripts. It is genuinely best at performing token classification for compression tasks, as evidenced by its training on the extractive text compression dataset.
Input
Output
Context
1K
Max Output
-
Parameters
177.3M
Technical Specifications
Model TypeChat
Context Window512 tokens
Max Output TokensNot available
Parameters177.3M
Release DateMar 17, 2024
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Text
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Llmlingua 2 Bert Base Multilingual Cased Meetingbank
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 23, 2026
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