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Model: ysn-rfd/Ministral-3b-instruct-GGUF Source: Original Platform
2026-04-18 20:19:22 +08:00
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+---
+base_model: ministral/Ministral-3b-instruct
+language:
+- en
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- llama-cpp
+- matrixportal
+inference:
+  parameters:
+    temperature: 1
+    top_p: 0.95
+    top_k: 40
+    repetition_penalty: 1.2
+---
+
+# ysn-rfd/Ministral-3b-instruct-GGUF
+   This model was converted to GGUF format from [`ministral/Ministral-3b-instruct`](https://huggingface.co/ministral/Ministral-3b-instruct) 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/ministral/Ministral-3b-instruct) for more details on the model.
+
+## ✅ Quantized Models Download List
+
+### 🔍 Recommended Quantizations
+- **✨ General CPU Use:** [`Q4_K_M`](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q4_k_m.gguf) (Best balance of speed/quality)
+- **📱 ARM Devices:** [`Q4_0`](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q4_0.gguf) (Optimized for ARM CPUs)
+- **🏆 Maximum Quality:** [`Q8_0`](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q8_0.gguf) (Near-original quality)
+
+### 📦 Full Quantization Options
+| 🚀 Download | 🔢 Type | 📝 Notes |
+|:---------|:-----|:------|
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q2_k.gguf) | ![Q2_K](https://img.shields.io/badge/Q2_K-1A73E8) | Basic quantization |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q3_k_s.gguf) | ![Q3_K_S](https://img.shields.io/badge/Q3_K_S-34A853) | Small size |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q3_k_m.gguf) | ![Q3_K_M](https://img.shields.io/badge/Q3_K_M-FBBC05) | Balanced quality |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q3_k_l.gguf) | ![Q3_K_L](https://img.shields.io/badge/Q3_K_L-4285F4) | Better quality |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q4_0.gguf) | ![Q4_0](https://img.shields.io/badge/Q4_0-EA4335) | Fast on ARM |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q4_k_s.gguf) | ![Q4_K_S](https://img.shields.io/badge/Q4_K_S-673AB7) | Fast, recommended |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q4_k_m.gguf) | ![Q4_K_M](https://img.shields.io/badge/Q4_K_M-673AB7) ⭐ | Best balance |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q5_0.gguf) | ![Q5_0](https://img.shields.io/badge/Q5_0-FF6D01) | Good quality |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q5_k_s.gguf) | ![Q5_K_S](https://img.shields.io/badge/Q5_K_S-0F9D58) | Balanced |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q5_k_m.gguf) | ![Q5_K_M](https://img.shields.io/badge/Q5_K_M-0F9D58) | High quality |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q6_k.gguf) | ![Q6_K](https://img.shields.io/badge/Q6_K-4285F4) 🏆 | Very good quality |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-q8_0.gguf) | ![Q8_0](https://img.shields.io/badge/Q8_0-EA4335) ⚡ | Fast, best quality |
+| [Download](https://huggingface.co/ysn-rfd/Ministral-3b-instruct-GGUF/resolve/main/ministral-3b-instruct-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)    |
+
+---
+
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