初始化项目，由ModelHub XC社区提供模型

Model: Satwik11/Microsoft-phi-4-Instruct-AutoRound-GPTQ-4bit
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- en
+base_model:
+- microsoft/phi-4
+---
+# Model Card for Microsoft-phi-4-Instruct-AutoRound-GPTQ-4bit
+
+## Model Overview
+
+**Model Name**: Microsoft-phi-4-Instruct-AutoRound-GPTQ-4bit  
+**Model Type**: Instruction-tuned, Quantized GPT-4-based language model  
+**Quantization**: GPTQ 4-bit  
+**Author**: Satwik11  
+**Hosted on**: Hugging Face
+
+## Description
+
+This model is a quantized version of the Microsoft phi-4 Instruct model, designed to deliver high performance while maintaining computational efficiency. By leveraging the GPTQ 4-bit quantization method, it enables deployment in environments with limited resources while retaining a high degree of accuracy.
+
+The model is fine-tuned for instruction-following tasks, making it ideal for applications in conversational AI, question answering, and general-purpose text generation.
+
+## Key Features
+
+- **Instruction-tuned**: Fine-tuned to follow human-like instructions effectively.
+- **Quantized for Efficiency**: Uses GPTQ 4-bit quantization to reduce memory requirements and inference latency.
+- **Pre-trained Base**: Built on the Microsoft phi-4 framework, ensuring state-of-the-art performance on NLP tasks.
+
+## Use Cases
+
+- Chatbots and virtual assistants.
+- Summarization and content generation.
+- Research and educational applications.
+- Semantic search and knowledge retrieval.
+
+## Model Details
+
+### Architecture
+
+- **Base Model**: Microsoft phi-4  
+- **Quantization Technique**: GPTQ (4-bit)  
+- **Language**: English  
+- **Training Objective**: Instruction-following fine-tuning