5edc3b6a6d3fb9cfaf713775133361b3ff907abf293a22ef2226785f9fbc0540  ./0.8B/weights/pytorch/latest-inference.pt
5b673c90dbcfb8e12443f839eac44b1e63a3a84f095ae4056384c9871fea4892  ./0.8B/tokenizer/sl_tokenizer.model
40a899a0791dbb6d28221796f6fdd8769ec99801f6e81a1fc64116c5c08bd93b  ./0.8B/tokenizer/sl_tokenizer.vocab
871dfe12d082d896dd9f5e55186f9fb7397ba7ed2b01953f8234b3e575fce521  ./194M/weights/pytorch/symboliclight-v1-194m-inference.pt
4cb8ed42c85511f7831e547919941816ca98a486ba1253809366df0f4d6559e0  ./194M/tokenizer/sl_tokenizer.model
2f28d1806673ad90cf96776d2439ebc5f4b246257fdb1cafd0a539622e9900d1  ./194M/tokenizer/vocab.txt