Hebrew-Mistral-7B
Maintainer: yam-peleg
52
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
Hebrew-Mistral-7B is an open-source Large Language Model (LLM) pretrained in Hebrew and English with 7 billion parameters. It is based on the Mistral-7B-v1.0 model from Mistral AI. The model has an extended Hebrew tokenizer with 64,000 tokens and is continuously pretrained on tokens in both English and Hebrew, making it 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.
Model inputs and outputs
Hebrew-Mistral-7B is a text-to-text model that can be used for a variety of natural language processing tasks. It takes textual inputs and generates textual outputs.
Inputs
- Arbitrary text in Hebrew or English
Outputs
- Generated text in Hebrew or English, depending on the input
Capabilities
Hebrew-Mistral-7B is a capable language model that can be used for tasks such as text generation, translation, summarization, and more. It has strong performance on Hebrew language tasks due to its specialized pretraining.
What can I use it for?
You can use Hebrew-Mistral-7B for a wide range of natural language processing applications, such as:
- Generating Hebrew text for creative writing, conversational agents, or other applications
- Translating between Hebrew and English
- Summarizing Hebrew text
- Answering questions about Hebrew language and culture
Things to try
One interesting thing to try with Hebrew-Mistral-7B is using it for multilingual applications that involve both Hebrew and English. The model's strong performance on both languages makes it a good choice for tasks that require understanding and generation in multiple languages.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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