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README.md
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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Like all LLMs, SambaLingo has certain limitations:
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- Hallucination: Model may sometimes generate responses that contain plausible-sounding but factually incorrect or irrelevant information.
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- Code Switching: The model might unintentionally switch between languages or dialects within a single response, affecting the coherence and understandability of the output.
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- Toxicity: The model could inadvertently generate responses containing inappropriate or harmful content.
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## Acknowledgments
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We extend our heartfelt gratitude to the open-source AI community; this endeavor would not have been
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We would like to give a special thanks to the following groups:
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- Meta for open sourcing LLama 2 and open sourcing FLORES-200 dataset
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## Cite SambaLingo
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```
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@software{sambalingo,
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title = {{SambaLingo: Language Experts
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author = {SambaNova Systems},
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url = {https://huggingface.co/sambanovasystems/SambaLingo-Russian-Base}
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month = {2},
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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Use of this model is governed by the Meta’s [Llama 2 Community License Agreement](https://ai.meta.com/llama/license/). Please review and accept the license before downloading the model weights.
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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Like all LLMs, SambaLingo has certain limitations:
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- Hallucination: Model may sometimes generate responses that contain plausible-sounding but factually incorrect or irrelevant information.
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- Code Switching: The model might unintentionally switch between languages or dialects within a single response, affecting the coherence and understandability of the output.
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- Toxicity: The model could inadvertently generate responses containing inappropriate or harmful content.
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## Acknowledgments
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We extend our heartfelt gratitude to the open-source AI community; this endeavor would not have been possible without open source. SambaNova embraces the open-source community and aspires to actively contribute to this initiative.
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We would like to give a special thanks to the following groups:
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- Meta for open sourcing LLama 2 and open sourcing FLORES-200 dataset
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## Cite SambaLingo
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```
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@software{sambalingo,
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title = {{SambaLingo: Open Source Language Experts}},
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author = {SambaNova Systems},
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url = {https://huggingface.co/sambanovasystems/SambaLingo-Russian-Base}
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month = {2},
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