goldfish-models
/

mon_latn_full

@@ -18,6 +18,8 @@ Goldfish is a suite of monolingual language models trained for 350 languages.
 This model is the <b>Mongolian</b> (Latin script) model trained on 49MB of data (all our data in the language), after accounting for an estimated byte premium of 1.18; content-matched text in Mongolian takes on average 1.18x as many UTF-8 bytes to encode as English.
 The Goldfish models are trained primarily for comparability across languages and for low-resource languages; Goldfish performance for high-resource languages is not designed to be comparable with modern large language models (LLMs).
 Note: mon_latn is a [macrolanguage](https://iso639-3.sil.org/code_tables/639/data) code. None of its contained individual languages are included in Goldfish (for script latn).
 All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://github.com/tylerachang/goldfish/blob/main/goldfish_paper_20240815.pdf).

 This model is the <b>Mongolian</b> (Latin script) model trained on 49MB of data (all our data in the language), after accounting for an estimated byte premium of 1.18; content-matched text in Mongolian takes on average 1.18x as many UTF-8 bytes to encode as English.
 The Goldfish models are trained primarily for comparability across languages and for low-resource languages; Goldfish performance for high-resource languages is not designed to be comparable with modern large language models (LLMs).
+Note: This language is available in Goldfish with other scripts (writing systems). See: mon_cyrl.
 Note: mon_latn is a [macrolanguage](https://iso639-3.sil.org/code_tables/639/data) code. None of its contained individual languages are included in Goldfish (for script latn).
 All training and hyperparameter details are in our paper, [Goldfish: Monolingual Language Models for 350 Languages (Chang et al., 2024)](https://github.com/tylerachang/goldfish/blob/main/goldfish_paper_20240815.pdf).