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  Custom GGUF quants of Google’s [gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it), where the Output Tensors are quantized to Q8_0 or kept at F32 while the Embeddings are kept at F32. 🧠🔥🚀
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- Notes: Great SMOL LLM for on-device inference. 😋
 
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  Custom GGUF quants of Google’s [gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it), where the Output Tensors are quantized to Q8_0 or kept at F32 while the Embeddings are kept at F32. 🧠🔥🚀
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+ Notes: Great SMOL LLM for on-device inference for mobile devices. 😋