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  # `Stable LM 2 1.6B`
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  ## Model Description
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  `Stable LM 2 1.6B` is a 1.6 billion parameter decoder-only language model pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs.
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  * **Language(s)**: English
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  * **Paper**: [Stable LM 2 1.6B Technical Report](https://drive.google.com/file/d/1JYJHszhS8EFChTbNAf8xmqhKjogWRrQF/view?usp=sharing)
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  * **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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- * **License**: [Stability AI Non-Commercial Research Community License](https://huggingface.co/stabilityai/stablelm-2-1_6b/blob/main/LICENSE). If you'd like to use this model for commercial products or purposes, please contact us [here](https://stability.ai/membership) to learn more.
 
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  * **Contact**: For questions and comments about the model, please email `[email protected]`
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  ### Model Architecture
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  ### Intended Use
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- The model is intended to be used as a foundational base model for application-specific fine-tuning. Developers must evaluate and fine-tune the model for safe performance in downstream applications.
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  ### Limitations and Bias
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  # `Stable LM 2 1.6B`
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+ Please note: For commercial use, please refer to https://stability.ai/membership
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  ## Model Description
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  `Stable LM 2 1.6B` is a 1.6 billion parameter decoder-only language model pre-trained on 2 trillion tokens of diverse multilingual and code datasets for two epochs.
 
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  * **Language(s)**: English
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  * **Paper**: [Stable LM 2 1.6B Technical Report](https://drive.google.com/file/d/1JYJHszhS8EFChTbNAf8xmqhKjogWRrQF/view?usp=sharing)
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  * **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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+ * **License**: [Stability AI Non-Commercial Research Community License](https://huggingface.co/stabilityai/stablelm-2-1_6b/blob/main/LICENSE).
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+ * **Commercial License**: to use this model commercially, please refer to https://stability.ai/membership
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  * **Contact**: For questions and comments about the model, please email `[email protected]`
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  ### Model Architecture
 
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  ### Intended Use
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+ The model is intended to be used as a foundational base model for application-specific fine-tuning. Developers must evaluate and fine-tune the model for safe performance in downstream applications. For commercial use, please refer to https://stability.ai/membership.
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  ### Limitations and Bias
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