> ## Documentation Index > Fetch the complete documentation index at: https://support.lilt.com/llms.txt > Use this file to discover all available pages before exploring further. # Manage Memory and Termbase ## Create new model and add custom assets (Translation memory & Termbase) * Go to `Contextual AI > Models`

* Click on `New model` and enter `Source language`, `Target language` and `Reference data source`

If a default model doesn't exist for that language pair, it will also be created

* To view the model entries, click on `Show source`

* Use `Upload files` option to import the `Memory(TM)` and `Termbase(TB)` entries

For larger datasets, upload the Memory file in TMX or TMX.zip format, and the Termbase in any of the following formats: TBX, TSV, CSV, XLSX, TMG. The file size limit is 200MB. * Use `Manage entries` to manage Memory and Termbase

* (Optional) Change model `settings` and set `Reviewed` by default

* Create a New entry to do the following * Create entry to train the memory. To do this, add a `Memory` type entry

* Create a `Termbase` entry to overwrite the memory without training it. This is same as glossary or dictionary items

* Added `Termbase` entry will be highlighted during the translation