TensorFlow lite for the MDBT42Q 2v04

The MDBT42Q also uses 40k of internal flash to store saved JS code compared to the Bangle. You could try to reduce that in the MDBT42's board file, but if you remove too much, well, you won't be able to save JS code:

  'saved_code' : {
    'address' : ((118 - 10) * 4096), # Bootloader takes pages 120-127, FS takes 118-119
    'page_size' : 4096,
    'pages' : 10,

The Bangle has external flash, so doesn't use internal flash to store saved code. But you can compare the two board files. Or solder an external flash on the MDBT42Q :)