---
license: gemma
pipeline_tag: text-generation
tags:
- conversational
---
*This model was quantized by [SanctumAI](https://sanctum.ai). To leave feedback, join our community in [Discord](https://discord.gg/7ZNE78HJKh).*
# Gemma 2 2B IT GGUF
**Model creator:** [google](https://huggingface.co/google)
**Original model**: [gemma-2-2b-it](https://huggingface.co/google/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:
```
user
{prompt}
model
```
## Hardware Requirements Estimate
| Name | Quant method | Size | Memory (RAM, vRAM) required |
| ---- | ---- | ---- | ---- |
| [gemma-2-2b-it.Q2_K.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q2_K.gguf) | Q2_K | 1.23 GB | 7.88 GB |
| [gemma-2-2b-it.Q3_K_S.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/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](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/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](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q3_K_L.gguf) | Q3_K_L | 1.55 GB | 8.18 GB |
| [gemma-2-2b-it.Q4_0.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q4_0.gguf) | Q4_0 | 1.63 GB | 8.26 GB |
| [gemma-2-2b-it.Q4_K_S.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/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](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q4_K_M.gguf) | Q4_K_M | 1.71 GB | 8.33 GB |
| [gemma-2-2b-it.Q4_K.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q4_K.gguf) | Q4_K | 1.71 GB | 8.33 GB |
| [gemma-2-2b-it.Q4_1.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q4_1.gguf) | Q4_1 | 1.76 GB | 8.37 GB |
| [gemma-2-2b-it.Q5_0.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q5_0.gguf) | Q5_0 | 1.88 GB | 8.49 GB |
| [gemma-2-2b-it.Q5_K_S.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/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](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q5_K_M.gguf) | Q5_K_M | 1.92 GB | 8.53 GB |
| [gemma-2-2b-it.Q5_K.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q5_K.gguf) | Q5_K | 1.92 GB | 8.53 GB |
| [gemma-2-2b-it.Q5_1.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q5_1.gguf) | Q5_1 | 2.01 GB | 8.61 GB |
| [gemma-2-2b-it.Q6_K.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q6_K.gguf) | Q6_K | 2.15 GB | 8.74 GB |
| [gemma-2-2b-it.Q8_0.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.Q8_0.gguf) | Q8_0 | 2.78 GB | 9.33 GB |
| [gemma-2-2b-it.f16.gguf](https://huggingface.co/SanctumAI/gemma-2-2b-it-GGUF/blob/main/gemma-2-2b-it.f16.gguf) | f16 | 5.24 GB | 11.61 GB |
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