# MameLoshnLM Uses 915 Million Yiddish Words

> A Yiddish language model trained on 915 million words reveals how mislabeled text distorts AI fluency.
- Title: MameLoshnLM Uses 915 Million Yiddish Words · RuntimeWire
- Summary: A Yiddish language model trained on 915 million words reveals how mislabeled text distorts AI fluency. MameLoshnLM, trained on 915 million Yiddish words…
- Keywords: mameloshnlm, yiddish, llama 3.1, ai model, language training, web text, technology, Uses, 915, Million, Words, RuntimeWire
- Source: RuntimeWire — https://runtimewire.com/article/mameloshnlm-yiddish-language-model
- Author: RuntimeWire
- Published: 2026-10-11T04:41:58.43+00:00
- Read time: 1 min
- Topics: mameloshnlm, yiddish, llama 3.1, ai model, language training, web text, technology, ai
## MameLoshnLM
Uri Katz and four co-authors built MameLoshnLM by continuing to train Meta's Llama 3.1 8B on more than 915 million words of Yiddish.
## Problem with Language Labels
The team's corpus, benchmark and openly inspectable results offer a testable approach to language-specific model development, though the weights are restricted to non-commercial use.
## October 6th Thread
The team's paper and model were available before Katz described the work in an October 6th thread on X .
## Key takeaway

MameLoshnLM, trained on 915 million Yiddish words, shows how mislabeled web text can misrepresent a language model's fluency.