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Phi 4 Model Stock V2
Phi-4-Model-Stock-v2 is a large language model merged from multiple Phi-4 variant models using the model_stock merging method, demonstrating strong performance across multiple benchmarks.
Downloads 56
Release Time : 1/17/2025
Model Overview
This model is a pre-trained language model created by merging multiple Phi-4 variant models, focusing on text generation tasks and showcasing solid performance across various evaluation datasets in the Open LLM Leaderboard.
Model Features
Multi-Model Merging
Utilizes the model_stock method to merge multiple Phi-4 variant models, integrating the strengths of different models.
Benchmark Performance
Demonstrates stable performance across multiple benchmarks such as IFEval and BBH.
Text Generation Capability
Specializes in text generation tasks, supporting text processing of various context lengths.
Model Capabilities
Text Generation
Instruction Following
Few-Shot Learning
Use Cases
Evaluation Testing
IFEval Assessment
Used to evaluate the model's performance in instruction-following tasks.
Instance-level strict accuracy 63.75
BBH Assessment
Used to evaluate the model's performance in complex reasoning tasks.
Normalized accuracy 54.69
Educational Research
Mathematical Problem Solving
Can be used to solve competition-level mathematical problems.
MATH dataset exact match 35.88
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