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Supermario Slerp V2

Developed by jan-hq
supermario-slerp-v2 is a text generation model created by merging two 7B-parameter models using the SLERP method, demonstrating outstanding performance across multiple benchmarks.
Downloads 15
Release Time : 12/12/2023

Model Overview

This model is created by merging the v1olet_marcoroni-go-bruins-merge-7B and juanako-7b-UNA models via the SLERP method, primarily designed for text generation tasks.

Model Features

Model Merging Technique
Uses the SLERP method to merge two distinct models, combining their respective strengths
High Performance
Excels in multiple benchmarks, such as achieving a normalized accuracy of 86.6 on HellaSwag
Open-Source Availability
Released under Apache 2.0 license, freely usable and modifiable

Model Capabilities

Text Generation
Question Answering
Reasoning Tasks

Use Cases

Education
AI2 Reasoning Challenge
Used to solve complex reasoning problems
Normalized accuracy 69.37
Commonsense Reasoning
HellaSwag Test
Evaluates the model's commonsense reasoning ability
Normalized accuracy 86.6
Mathematical Problem Solving
GSM8k Math Test
Solves elementary math problems
Accuracy 63.46
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