---
base_model: google/gemma-3-27b-it
library_name: transformers
license: gemma
pipeline_tag: image-text-to-text
tags:
- llama-cpp
- gguf-my-repo
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
  Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
---

*Produced by [Antigma Labs](https://antigma.ai)*
## llama.cpp quantization
Using <a href="https://github.com/ggml-org/llama.cpp">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b5162">b4944</a> for quantization.
Original model: https://huggingface.co/google/gemma-3-27b-it
Run them directly with [llama.cpp](https://github.com/ggml-org/llama.cpp), or any other llama.cpp based project
## Prompt format
```
<｜begin▁of▁sentence｜>{system_prompt}<｜User｜>{prompt}<｜Assistant｜><｜end▁of▁sentence｜><｜Assistant｜>
```
## Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Split |
| -------- | ---------- | --------- | ----- |
| [gemma-3-27b-it-q4_k_m.gguf](https://huggingface.co/mohanz/gemma-3-27b-it-Q4_K_M-Q6_K-GGUF/blob/main/gemma-3-27b-it-q4_k_m.gguf)|Q4_K_M|15.41 GB|False|
|[gemma-3-27b-it-q6_k.gguf](https://huggingface.co/mohanz/gemma-3-27b-it-Q4_K_M-Q6_K-GGUF/blob/main/gemma-3-27b-it-q6_k.gguf)|Q6_K|20.64 GB|False|

## Downloading using huggingface-cli
<details>
  <summary>Click to view download instructions</summary>
First, make sure you have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Then, you can target the specific file you want:
```
huggingface-cli download https://huggingface.co/mohanz/gemma-3-27b-it-Q4_K_M-Q6_K-GGUF --include "gemma-3-27b-it-q4_k_m.gguf" --local-dir ./
```
If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download https://huggingface.co/mohanz/gemma-3-27b-it-Q4_K_M-Q6_K-GGUF --include "gemma-3-27b-it-q4_k_m.gguf/*" --local-dir ./
```
You can either specify a new local-dir (deepseek-ai_DeepSeek-V3-0324-Q8_0) or download them all in place (./)
</details>