Browse TheBloke models' history
Create a large, deduplicated dataset for LLM pre-training
Support by Parquet, CSV, Jsonl, XLS
Validate JSONL format for fine-tuning
Create and validate structured metadata for datasets
Perform OSINT analysis, fetch URL titles, fine-tune models
Display instructional dataset
Review and rate queries
Display trending datasets and spaces
Organize and process datasets for AI models
Annotation Tool
ReWrite datasets with a text instruction
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Datasette Thebloke is a tool designed to help users browse and analyze the history of TheBloke models. It provides a structured interface to explore and interact with historical data related to TheBloke's models, making it easier to track changes and understand model evolution.
• User-friendly interface: Easily navigate and explore historical model data. • Version history tracking: View changes and updates made to TheBloke models over time. • Data export capabilities: Download historical data for further analysis. • Filtering options: Narrow down data based on specific criteria. • Detailed documentation: Access information about model updates and improvements.
What is Datasette Thebloke used for?
Datasette Thebloke is primarily used to browse and analyze the history of TheBloke models, allowing users to track changes and updates over time.
How do I install Datasette Thebloke?
You can install Datasette Thebloke using pip with the following command: pip install datasette-thebloke.
Can I export data from Datasette Thebloke?
Yes, Datasette Thebloke offers data export capabilities, enabling users to download historical data for further analysis or reporting.