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Llama 3.1 SauerkrautLM 70b Instruct AWQ

Developed by WisPerMed
Wisperlama is a text generation model developed by the doctoral student team of the Wispermed group funded by the DFG, optimized based on the Llama-3.1 architecture.
Downloads 136
Release Time : 10/17/2024

Model Overview

This model focuses on text generation tasks and is suitable for various natural language processing scenarios.

Model Features

Large language model
Based on the Llama-3.1 architecture with a scale of 70B parameters, it has powerful text generation capabilities
Academic research support
Developed with the funding of the German Research Foundation (DFG), it has an academic research background
Open source license
Adopts the Apache-2.0 license, allowing commercial and research use

Model Capabilities

Text generation
Instruction understanding
Natural language processing

Use Cases

Academic research
Assisted writing of scientific research papers
Help researchers generate paper drafts or technical documents
Commercial application
Content creation
Automatically generate commercial texts such as marketing copy and product descriptions
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