初始化项目，由ModelHub XC社区提供模型

Model: CelesteImperia/Phi-3.5-mini-instruct-Platinum-GGUF Source: Original Platform
2026-05-05 21:25:31 +08:00
commit e1d9765028
9 changed files with 176 additions and 0 deletions
--- a/README.md
+++ b/README.md
@@ -0,0 +1,96 @@
+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: gguf
+pipeline_tag: text-generation
+license: mit
+tags:
+- gguf
+- llama-cpp
+- phi-3.5
+- celeste-imperia
+---
+
+# Phi-3.5-mini-instruct-GGUF (Platinum Series)
+
+![Status](https://img.shields.io/badge/Status-Active-success)
+![Format](https://img.shields.io/badge/Format-GGUF-green)
+![Series](https://img.shields.io/badge/Series-Platinum-silver)
+[![Support](https://img.shields.io/badge/Support-Razorpay-orange)](https://razorpay.me/@huggingface)
+
+This repository contains the **Platinum Series** universal GGUF release of **Phi-3.5-mini-instruct**. This collection provides multiple quantization levels optimized for cross-platform performance, offering advanced reasoning capabilities with 128k context support.
+
+## 📦 Available Files & Quantization Details
+
+| File Name | Quantization | Size | Accuracy | Recommended For |
+| :--- | :--- | :--- | :--- | :--- |
+| **Phi-3.5-mini-instruct-Platinum-F16.gguf** | FP16 | ~7.6 GB | 100% | Master Reference / Benchmarking |
+| **Phi-3.5-mini-instruct-Platinum-Q8_0.gguf** | Q8_0 | ~4.1 GB | 99.9% | Platinum Reference / High-Fidelity |
+| **Phi-3.5-mini-instruct-Platinum-Q6_K.gguf** | Q6_K | ~3.1 GB | 99.8% | High-Quality Inference |
+| **Phi-3.5-mini-instruct-Platinum-Q5_K_M.gguf** | Q5_K_M | ~2.8 GB | 99.4% | Balanced Desktop Performance |
+| **Phi-3.5-mini-instruct-Platinum-Q4_K_M.gguf** | Q4_K_M | ~2.4 GB | 98.8% | Mobile / Low-Power Efficiency |
+
+---
+
+## 🐍 Python Inference (llama-cpp-python)
+
+To run these engines using Python:
+
+```python
+from llama_cpp import Llama
+
+llm = Llama(
+    model_path="Phi-3.5-mini-instruct-Platinum-Q8_0.gguf",
+    n_gpu_layers=-1, # Target all layers to NVIDIA/Apple GPU
+    n_ctx=4096
+)
+
+output = llm("Discuss the architectural benefits of Phi-3.5.", max_tokens=150)
+print(output["choices"][0]["text"])
+```
+
+---
+
+## 💻 For C# / .NET Users (LLamaSharp)
+
+This collection is fully compatible with .NET applications via the ``LLamaSharp`` library.
+
+```csharp
+using LLama.Common;
+using LLama;
+
+var parameters = new ModelParams("Phi-3.5-mini-instruct-Platinum-Q8_0.gguf") {
+    ContextSize = 4096,
+    GpuLayerCount = 35 
+};
+
+using var model = LLamaWeights.LoadFromFile(parameters);
+using var context = model.CreateContext(parameters);
+var executor = new InteractiveExecutor(context);
+
+Console.WriteLine("Universal Engine Active.");
+```
+
+---
+
+## 🏗️ Technical Details
+- **Optimization Tool:** llama.cpp (CUDA-accelerated)
+- **Architecture:** Phi-3.5
+- **Hardware Validation:** Dual-GPU (RTX 3090 + RTX A4000)
+
+---
+
+### ☕ Support the Forge
+
+Maintaining the production line for high-fidelity models requires significant hardware resources. If these tools power your research or industrial projects, please consider supporting the development:
+
+| Platform | Support Link |
+| :--- | :--- |
+| **Global & India** | [Support via Razorpay](https://razorpay.me/@huggingface) |
+
+**Scan to support via UPI (India Only):**
+
+<img src="https://huggingface.co/datasets/CelesteImperia/Assets/resolve/main/QrCode.jpeg" width="200">
+
+---
+
+**Connect with the architect:** [Abhishek Jaiswal on LinkedIn](https://www.linkedin.com/in/abhishek-jaiswal-524056a/)