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README.md

@@ -28,7 +28,7 @@ library_name: transformers
 license: cc-by-nc-4.0
 tags:
 - llama-cpp
-- gguf-my-repo
+- matrixportal
 inference: false
 extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license)  and
   acknowledge that the information you provide will be collected, used, and shared
@@ -292,66 +292,27 @@ extra_gated_fields:
   I agree to use this model for non-commercial use ONLY: checkbox
 ---
 
-## Quant List
-
-You can download the desired quant version from the list here. 
-| Link | Type | Size/GB | Notes |
-|:-----|:-----|--------:|:------|
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q2_k.gguf)  | Q2_K | 3.44 |  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_s.gguf) | Q3_K_S | 3.87 |  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_m.gguf) | Q3_K_M | 4.22 | lower quality |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_l.gguf) | Q3_K_L | 4.53 |  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q4_0.gguf) | Q4_0 | 4.80 | Arm, fast  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q4_k_s.gguf) | Q4_K_S | 4.83 | fast, recommended |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_m.gguf) | Q4_K_M | 5.06 | fast, recommended |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q5_0.gguf) | Q5_0 | 5.67 |  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q5_k_s.gguf) | Q5_K_S | 5.67 |  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q5_k_m.gguf) | Q5_K_M | 5.8 |  |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q6_k.gguf) | Q6_K | 6.60 | very good quality |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q8_0.gguf) | Q8_0 | 8.54 | fast, best quality |
-| [Download here](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-f16.gguf) | f16 | 16.07 | 16 bpw, overkill |
-
-
 # matrixportal/aya-23-8B-GGUF
-This model was converted to GGUF format from [`CohereForAI/aya-23-8B`](https://huggingface.co/CohereForAI/aya-23-8B) 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 [`CohereForAI/aya-23-8B`](https://huggingface.co/CohereForAI/aya-23-8B) using llama.cpp via the ggml.ai's [all-gguf-same-where](https://huggingface.co/spaces/matrixportal/all-gguf-same-where) space.
 Refer to the [original model card](https://huggingface.co/CohereForAI/aya-23-8B) 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/aya-23-8B-GGUF --hf-file aya-23-8b-q8_0.gguf -p "The meaning to life and the universe is"
-```
-
-### Server:
-```bash
-llama-server --hf-repo matrixportal/aya-23-8B-GGUF --hf-file aya-23-8b-q8_0.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
-```
+## ✅ Quantized Models Download List 
+**✨ Recommended for CPU:** `Q4_K_M` | **⚡ Recommended for ARM CPU:** `Q4_0` | **🏆 Best Quality:** `Q8_0`  
 
-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
-```
+| 🚀 Download | 🔢 Type | 📝 Notes |
+|:---------|:-----|:------|
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
+| [Download](https://huggingface.co/matrixportal/aya-23-8B-GGUF/resolve/main/aya-23-8b-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
 
-Step 3: Run inference through the main binary.
-```
-./llama-cli --hf-repo matrixportal/aya-23-8B-GGUF --hf-file aya-23-8b-q8_0.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo matrixportal/aya-23-8B-GGUF --hf-file aya-23-8b-q8_0.gguf -c 2048
-```
+💡 **Tip:** Use `F16` for maximum precision when quality is critical