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Gemma 2 2B IT GGUF

Model creator: google
Original model: gemma-2-2b-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-2-2b-it.Q2_K.gguf	Q2_K	1.23 GB	7.88 GB
gemma-2-2b-it.Q3_K_S.gguf	Q3_K_S	1.36 GB	8.00 GB
gemma-2-2b-it.Q3_K_M.gguf	Q3_K_M	1.46 GB	8.10 GB
gemma-2-2b-it.Q3_K_L.gguf	Q3_K_L	1.55 GB	8.18 GB
gemma-2-2b-it.Q4_0.gguf	Q4_0	1.63 GB	8.26 GB
gemma-2-2b-it.Q4_K_S.gguf	Q4_K_S	1.64 GB	8.26 GB
gemma-2-2b-it.Q4_K_M.gguf	Q4_K_M	1.71 GB	8.33 GB
gemma-2-2b-it.Q4_K.gguf	Q4_K	1.71 GB	8.33 GB
gemma-2-2b-it.Q4_1.gguf	Q4_1	1.76 GB	8.37 GB
gemma-2-2b-it.Q5_0.gguf	Q5_0	1.88 GB	8.49 GB
gemma-2-2b-it.Q5_K_S.gguf	Q5_K_S	1.88 GB	8.49 GB
gemma-2-2b-it.Q5_K_M.gguf	Q5_K_M	1.92 GB	8.53 GB
gemma-2-2b-it.Q5_K.gguf	Q5_K	1.92 GB	8.53 GB
gemma-2-2b-it.Q5_1.gguf	Q5_1	2.01 GB	8.61 GB
gemma-2-2b-it.Q6_K.gguf	Q6_K	2.15 GB	8.74 GB
gemma-2-2b-it.Q8_0.gguf	Q8_0	2.78 GB	9.33 GB
gemma-2-2b-it.f16.gguf	f16	5.24 GB	11.61 GB

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