Hebrew-Mistral-7B-GGUF

• This is quantized version of yam-peleg/Hebrew-Mistral-7B created using llama.cpp

Model Description

Hebrew-Mistral-7B is an open-source Large Language Model (LLM) pretrained in hebrew and english pretrained with 7B billion parameters, based on Mistral-7B-v1.0 from Mistral.

It has an extended hebrew tokenizer with 64,000 tokens and is continuesly pretrained from Mistral-7B on tokens in both English and Hebrew.

The resulting model is a powerful general-purpose language model suitable for a wide range of natural language processing tasks, with a focus on Hebrew language understanding and generation.

Notice

Hebrew-Mistral-7B is a pretrained base model and therefore does not have any moderation mechanisms.

Authors of Original Model

• Trained by Yam Peleg.
• In collaboration with Jonathan Rouach and Arjeo, inc.