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@@ -15,7 +15,7 @@ DeciLM-7B is a 7.04 billion parameter decoder-only text generation model, releas
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  Deci developed and released the DeciLM-7B language model, a pre-trained, high-efficiency text generation model with 7 billion parameters. DeciLM-7B is not only the most accurate 7B base model, but it also outpaces all models in its class with a throughput that is up to 4.4x that of Mistral-7B's. An instruct version [DeciLM-7B-instruct](https://huggingface.co/Deci/DeciLM-7B-instruct) has also been released.
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- - **Developed by:** [Deci](https://deci.ai/)
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  - **Model type:** DeciLM is an auto-regressive language model using an optimized transformer decoder architecture that includes variable Grouped-Query Attention.
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  - **Language(s) (NLP):** English
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  - **License:** Apache 2.0
@@ -31,7 +31,7 @@ Deci developed and released the DeciLM-7B language model, a pre-trained, high-ef
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  ### Model Sources
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- - **Blog:** [DeciLM-7B Technical Blog](https://deci.ai/blog/introducing-DeciLM-7B-the-fastest-and-most-accurate-7b-large-language-model-to-date)
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  - **Demo:** [DeciLM-7B-instruct Demo](https://huggingface.co/spaces/Deci/DeciLM-7B-instruct)
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  - **Finetuning Notebook:** [DeciLM-7B Finetuning Notebook](https://colab.research.google.com/drive/1kEV6i96AQ94xTCvSd11TxkEaksTb5o3U?usp=sharing)
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  - **Text Generation Notebook:** [DeciLM-7B-instruct Text Generation Notebook](https://bit.ly/declm-7b-instruct)
 
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  Deci developed and released the DeciLM-7B language model, a pre-trained, high-efficiency text generation model with 7 billion parameters. DeciLM-7B is not only the most accurate 7B base model, but it also outpaces all models in its class with a throughput that is up to 4.4x that of Mistral-7B's. An instruct version [DeciLM-7B-instruct](https://huggingface.co/Deci/DeciLM-7B-instruct) has also been released.
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+ - **Developed by:** [Deci](https://deci.ai/?utm_campaign=repos&utm_source=hugging-face&utm_medium=model-card&utm_content=decilm-7b)
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  - **Model type:** DeciLM is an auto-regressive language model using an optimized transformer decoder architecture that includes variable Grouped-Query Attention.
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  - **Language(s) (NLP):** English
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  - **License:** Apache 2.0
 
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  ### Model Sources
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+ - **Blog:** [DeciLM-7B Technical Blog](https://deci.ai/blog/introducing-DeciLM-7B-the-fastest-and-most-accurate-7b-large-language-model-to-date/?utm_campaign=repos&utm_source=hugging-face&utm_medium=model-card&utm_content=decilm-7b)
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  - **Demo:** [DeciLM-7B-instruct Demo](https://huggingface.co/spaces/Deci/DeciLM-7B-instruct)
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  - **Finetuning Notebook:** [DeciLM-7B Finetuning Notebook](https://colab.research.google.com/drive/1kEV6i96AQ94xTCvSd11TxkEaksTb5o3U?usp=sharing)
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  - **Text Generation Notebook:** [DeciLM-7B-instruct Text Generation Notebook](https://bit.ly/declm-7b-instruct)