ysn-rfd
/

HallOumi-8B-GGUF

@@ -11,49 +11,75 @@ library_name: transformers
 license: cc-by-nc-4.0
 tags:
 - llama-cpp
-- gguf-my-repo
 ---
 # ysn-rfd/HallOumi-8B-GGUF
-This model was converted to GGUF format from [`oumi-ai/HallOumi-8B`](https://huggingface.co/oumi-ai/HallOumi-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/oumi-ai/HallOumi-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 ysn-rfd/HallOumi-8B-GGUF --hf-file halloumi-8b-q4_0.gguf -p "The meaning to life and the universe is"
-```
-### Server:
-```bash
-llama-server --hf-repo ysn-rfd/HallOumi-8B-GGUF --hf-file halloumi-8b-q4_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
-```
-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 ysn-rfd/HallOumi-8B-GGUF --hf-file halloumi-8b-q4_0.gguf -p "The meaning to life and the universe is"
-```
-or
-```
-./llama-server --hf-repo ysn-rfd/HallOumi-8B-GGUF --hf-file halloumi-8b-q4_0.gguf -c 2048
-```

 license: cc-by-nc-4.0
 tags:
 - llama-cpp
+- matrixportal
 ---
 # ysn-rfd/HallOumi-8B-GGUF
+   This model was converted to GGUF format from [`oumi-ai/HallOumi-8B`](https://huggingface.co/oumi-ai/HallOumi-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/oumi-ai/HallOumi-8B) for more details on the model.
+## ✅ Quantized Models Download List
+### 🔍 Recommended Quantizations
+- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q4_k_m.gguf) (Best balance of speed/quality)
+- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q4_0.gguf) (Optimized for ARM CPUs)
+- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q8_0.gguf) (Near-original quality)
+### 📦 Full Quantization Options
+| 🚀 Download | 🔢 Type | 📝 Notes |
+|:---------|:-----|:------|
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
+| [Download](https://huggingface.co/ysn-rfd/HallOumi-8B-GGUF/resolve/main/halloumi-8b-f16.gguf) | ![F16](https://img.shields.io/badge/F16-000000) | Maximum accuracy |
+💡 **Tip:** Use `F16` for maximum precision when quality is critical
+---
+# 🚀 Applications and Tools for Locally Quantized LLMs
+## 🖥️ Desktop Applications
+| Application     | Description                                                                                  | Download Link                                                                  |
+|-----------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
+| **Llama.cpp**   | A fast and efficient inference engine for GGUF models.                                       | [GitHub Repository](https://github.com/ggml-org/llama.cpp)                     |
+| **Ollama**      | A streamlined solution for running LLMs locally.                                             | [Website](https://ollama.com/)                                                 |
+| **AnythingLLM** | An AI-powered knowledge management tool.                                                     | [GitHub Repository](https://github.com/Mintplex-Labs/anything-llm)             |
+| **Open WebUI**  | A user-friendly web interface for running local LLMs.                                        | [GitHub Repository](https://github.com/open-webui/open-webui)                  |
+| **GPT4All**     | A user-friendly desktop application supporting various LLMs, compatible with GGUF models.    | [GitHub Repository](https://github.com/nomic-ai/gpt4all)                       |
+| **LM Studio**   | A desktop application designed to run and manage local LLMs, supporting GGUF format.         | [Website](https://lmstudio.ai/)                                                |
+| **GPT4All Chat**| A chat application compatible with GGUF models for local, offline interactions.              | [GitHub Repository](https://github.com/nomic-ai/gpt4all)                       |
+---
+## 📱 Mobile Applications
+| Application       | Description                                                                                  | Download Link                                                                  |
+|-------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
+| **ChatterUI**     | A simple and lightweight LLM app for mobile devices.                                         | [GitHub Repository](https://github.com/Vali-98/ChatterUI)                      |
+| **Maid**          | Mobile Artificial Intelligence Distribution for running AI models on mobile devices.         | [GitHub Repository](https://github.com/Mobile-Artificial-Intelligence/maid)    |
+| **PocketPal AI**  | A mobile AI assistant powered by local models.                                               | [GitHub Repository](https://github.com/a-ghorbani/pocketpal-ai)                |
+| **Layla**         | A flexible platform for running various AI models on mobile devices.                         | [Website](https://www.layla-network.ai/)                                       |
+---
+## 🎨 Image Generation Applications
+| Application                         | Description                                                                                  | Download Link                                                                  |
+|-------------------------------------|----------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
+| **Stable Diffusion**                | An open-source AI model for generating images from text.                                     | [GitHub Repository](https://github.com/CompVis/stable-diffusion)               |
+| **Stable Diffusion WebUI**          | A web application providing access to Stable Diffusion models via a browser interface.       | [GitHub Repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui)   |
+| **Local Dream**                     | Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference.                                              | [GitHub Repository](https://github.com/xororz/local-dream)                     |
+| **Stable-Diffusion-Android (SDAI)** | An open-source AI art application for Android devices, enabling digital art creation.        | [GitHub Repository](https://github.com/ShiftHackZ/Stable-Diffusion-Android)    |
+---