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Pasta Lake 7b

Developed by Nitral-Archive
Pasta-Lake-7b is a 7B-parameter language model created by merging the Test157t/Pasta-PrimaMaid-7b and macadeliccc/WestLake-7B-v2-laser-truthy-dpo models.
Downloads 93
Release Time : 2/9/2024

Model Overview

This is a merged model primarily designed for text generation tasks, demonstrating strong performance across multiple benchmarks.

Model Features

Model merging technique
Utilizes mergekit tool and slerp merging method to combine strengths of two distinct models
Quantized version support
Offers multiple quantized versions (exl2 and gguf) for deployment across different hardware environments
Balanced multitask performance
Demonstrates balanced performance across text generation, reasoning, and Q&A tasks

Model Capabilities

Text generation
Q&A systems
Reasoning tasks
Knowledge-based Q&A

Use Cases

Education
Knowledge Q&A
Can be used for knowledge-based Q&A systems in education
Achieved 64.41% accuracy in MMLU testing
Research
Benchmark testing
Can be used for benchmark testing in NLP research
Average score of 73.07 on Open LLM Leaderboard
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