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README.md

@@ -5,7 +5,6 @@ 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
@@ -14,45 +13,26 @@ extra_gated_button_content: Acknowledge license
 ---
 
 # matrixportal/gemma-3-4b-it-GGUF
-This model was converted to GGUF format from [`google/gemma-3-4b-it`](https://huggingface.co/google/gemma-3-4b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+This model was converted to GGUF format from [`google/gemma-3-4b-it`](https://huggingface.co/google/gemma-3-4b-it)
 Refer to the [original model card](https://huggingface.co/google/gemma-3-4b-it) for more details on the model.
 
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
-
-```bash
-brew install llama.cpp
-
-```
-Invoke the llama.cpp server or the CLI.
-
-### CLI:
-```bash
-llama-cli --hf-repo matrixportal/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-f16.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo matrixportal/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-f16.gguf -c 2048
-```
-
-Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
-
-Step 1: Clone llama.cpp from GitHub.
-```
-git clone https://github.com/ggerganov/llama.cpp
-```
-
-Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
-```
-cd llama.cpp && LLAMA_CURL=1 make
-```
-
-Step 3: Run inference through the main binary.
-```
-./llama-cli --hf-repo matrixportal/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-f16.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo matrixportal/gemma-3-4b-it-GGUF --hf-file gemma-3-4b-it-f16.gguf -c 2048
-```
+## 🔍 Quantized Models Download List 🔍
+**✨ Recommended for CPU:** `Q4_K_M` | **⚡ Recommended for ARM CPU:** `Q4_0` | **🏆 Best Quality:** `Q8_0`  
+
+| 🚀 Download | 🔢 Type | 📝 Notes |
+|:---------|:-----|:------|
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
+| [Download](https://huggingface.co/matrixportal/gemma-3-4b-it-GGUF/resolve/main/gemma-3-4b-it-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
+
+💡 **Tip:** Use `F16` for maximum precision when quality is critical