Llama2-Chinese-13b-Chat
Maintainer: FlagAlpha
269
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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
Llama2-Chinese-13b-Chat is a large language model developed by FlagAlpha. It is part of the Llama 2 family of models, which range in size from 7 billion to 70 billion parameters. The model has been fine-tuned specifically for chat and dialogue use cases, and is optimized for helpfulness and safety. Compared to similar open-source chat models, the Llama2-Chinese-13b-Chat model outperforms them on most benchmarks according to the maintainer.
Model Inputs and Outputs
Inputs
- The model takes text input only.
Outputs
- The model generates text output only.
Capabilities
The Llama2-Chinese-13b-Chat model demonstrates strong performance on a variety of academic benchmarks, including commonsense reasoning, world knowledge, reading comprehension, and mathematics. It also scores well on safety metrics, producing fewer toxic outputs compared to the base Llama 1 models.
What Can I Use It For?
The Llama2-Chinese-13b-Chat model is intended for commercial and research use in Chinese language tasks. The fine-tuned chat version can be used to build assistant-like applications, while the base pretrained model can be adapted for a range of natural language generation use cases. To get the best performance, developers should follow the specific formatting guidelines provided by the maintainer.
Things to Try
Developers looking to use the Llama2-Chinese-13b-Chat model should review the Responsible Use Guide provided by the maintainer to understand the model's limitations and appropriate use cases. As with any large language model, it's important to thoroughly test and tune the model for specific applications to ensure safe and reliable performance.
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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