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Phi 3 Mini 4k Instruct GGUF

Developed by brittlewis12
Phi-3-Mini-4K-Instruct is a 3.8 billion parameter lightweight cutting-edge open-source model trained on the Phi-3 dataset, emphasizing high quality and inference-intensive characteristics.
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Release Time : 4/24/2024

Model Overview

A lightweight open-source language model developed by Microsoft, focusing on high-quality text generation and reasoning tasks, supporting a 4K context length.

Model Features

Lightweight and Efficient
Only 3.8 billion parameters yet maintains strong performance, suitable for deployment in resource-limited environments
High-Quality Reasoning
Trained on a carefully selected dataset, optimized for complex reasoning tasks
4K Context Support
Supports context memory of up to 4096 tokens
Instruction Optimization
Specifically optimized for instruction-following scenarios

Model Capabilities

Text Generation
Instruction Understanding
Code Generation
Structured Output (JSON/XML)
Complex Reasoning

Use Cases

Development Assistance
Code Generation
Generate code snippets based on natural language descriptions
HumanEval benchmark score of 59.1
Education
Math Problem Solving
Solve mathematical reasoning problems
GSM-8K benchmark score of 82.5
Business Analysis
Structured Report Generation
Convert unstructured data into JSON/XML format
JSON structure output score of 52.3, XML structure output score of 49.8
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