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.
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Base model
yam-peleg/Hebrew-Mistral-7B