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Li 14b V0.4 Slerp0.1

Developed by wanlige
This is a 14B-parameter large language model merged using the SLERP method, combining two base models: li-14b-v0.4 and miscii-14b-0218.
Downloads 70
Release Time : 2/24/2025

Model Overview

The model is primarily designed for text generation tasks and demonstrates outstanding performance across multiple benchmarks, particularly excelling in IFEval and MATH Lvl 5 tasks.

Model Features

Model Merging Technique
Uses SLERP method to merge two 14B-parameter models, combining their respective strengths
High-performance Text Generation
Demonstrates excellent performance in multiple text generation benchmarks, particularly in instruction following and mathematical reasoning
Multitask Adaptability
Capable of handling diverse tasks ranging from simple text generation to complex mathematical problem-solving

Model Capabilities

Text Generation
Instruction Following
Mathematical Reasoning
Question Answering
Knowledge-based QA

Use Cases

Education
Mathematical Problem Solving
Solving complex mathematical problems
Achieved 53.32% exact match rate on MATH Lvl 5 tasks
Research
Instruction Following Evaluation
Assessing the model's ability to understand and execute complex instructions
Achieved 79.23% strict accuracy on IFEval tasks
Business Applications
Business Text Generation
Generating various business documents and reports
No specific performance metrics provided
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