SanctumAI/gemma-2-9b-it-GGUF

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Gemma 2 9B IT GGUF

Model creator: google
Original model: gemma-2-9b-it

Model Summary:

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone.

Prompt Template:

If you're using Sanctum app, simply use Gemma model preset.

Prompt template:

<start_of_turn>user
{prompt}<end_of_turn>
<|start_of_turn|>model

Hardware Requirements Estimate

Name	Quant method	Size	Memory (RAM, vRAM) required
gemma-2-9b-it.Q2_K.gguf	Q2_K	3.81 GB	15.14 GB
gemma-2-9b-it.Q3_K_S.gguf	Q3_K_S	4.34 GB	15.64 GB
gemma-2-9b-it.Q3_K_M.gguf	Q3_K_M	4.76 GB	16.04 GB
gemma-2-9b-it.Q3_K_L.gguf	Q3_K_L	5.13 GB	16.38 GB
gemma-2-9b-it.Q4_0.gguf	Q4_0	5.44 GB	16.67 GB
gemma-2-9b-it.Q4_K_S.gguf	Q4_K_S	5.48 GB	16.70 GB
gemma-2-9b-it.Q4_K_M.gguf	Q4_K_M	5.76 GB	16.97 GB
gemma-2-9b-it.Q4_K.gguf	Q4_K	5.76 GB	16.97 GB
gemma-2-9b-it.Q4_1.gguf	Q4_1	5.96 GB	17.15 GB
gemma-2-9b-it.Q5_0.gguf	Q5_0	6.48 GB	17.64 GB
gemma-2-9b-it.Q5_K_S.gguf	Q5_K_S	6.48 GB	17.64 GB
gemma-2-9b-it.Q5_K_M.gguf	Q5_K_M	6.65 GB	17.79 GB
gemma-2-9b-it.Q5_K.gguf	Q5_K	6.65 GB	17.79 GB
gemma-2-9b-it.Q5_1.gguf	Q5_1	7.00 GB	18.12 GB
gemma-2-9b-it.Q6_K.gguf	Q6_K	7.59 GB	18.67 GB
gemma-2-9b-it.Q8_0.gguf	Q8_0	9.83 GB	20.75 GB
gemma-2-9b-it.f16.gguf	f16	18.49 GB	28.82 GB

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