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README.md

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+---
+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>