Meltemi: The first open Large Language Model for Greek
This provides a foundational tool for Greek language processing, though it is incremental as it adapts an existing model to a new language.
The researchers tackled the lack of open large language models for Greek by developing Meltemi 7B, a 7-billion-parameter model trained on a 40-billion-token Greek corpus, resulting in the first such model with an instruction-tuned variant for chat applications.
We describe the development and capabilities of Meltemi 7B, the first open Large Language Model for the Greek language. Meltemi 7B has 7 billion parameters and is trained on a 40 billion token Greek corpus. For the development of Meltemi 7B, we adapt Mistral, by continuous pretraining on the Greek Corpus. Meltemi 7B contains up-to-date information up to September 2023. Furthermore, we have translated and curated a Greek instruction corpus, which has been used for the instruction-tuning of a chat model, named Meltemi 7B Instruct. Special care has been given to the alignment and the removal of toxic content for the Meltemi 7B Instruct. The developed models are evaluated on a broad set of collected evaluation corpora, and examples of prompts and responses are presented. Both Meltemi 7B and Meltemi 7B Instruct are available at https://huggingface.co/ilsp under the Apache 2.0 license.