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  <p style="text-align: center;"><a href="https://www.reddit.com/r/LLM_Quants/">Request Additional models at r/LLM_Quants.</a></p>
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  ***
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- # Gemmasutra Mini 2B V1 3B
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  - **Creator:** [TheDrummer](https://huggingface.co/TheDrummer/)
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- - **Original:** [Gemmasutra Mini 2B V1 3B](https://huggingface.co/TheDrummer/Gemmasutra-Mini-2B-v1)
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  - **Date Created:** 2024-08-03
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  - **Trained Context:** 8192 tokens
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  - **Description:** Fast, and surprisingly strong for being so small. Uses only 4.5GB of VRAM at the highest quantization size, and much less for lower sizes. A good choice for machines without a GPU or for blazing fast but simpler chats.
 
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  <p style="text-align: center;"><a href="https://www.reddit.com/r/LLM_Quants/">Request Additional models at r/LLM_Quants.</a></p>
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  ***
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+ # Gemmasutra Mini V1 2B
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  - **Creator:** [TheDrummer](https://huggingface.co/TheDrummer/)
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+ - **Original:** [Gemmasutra Mini V1 2B](https://huggingface.co/TheDrummer/Gemmasutra-Mini-2B-v1)
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  - **Date Created:** 2024-08-03
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  - **Trained Context:** 8192 tokens
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  - **Description:** Fast, and surprisingly strong for being so small. Uses only 4.5GB of VRAM at the highest quantization size, and much less for lower sizes. A good choice for machines without a GPU or for blazing fast but simpler chats.