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Puddlejumper 13b V2
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Puddlejumper 13b V2

Developed by totally-not-an-llm
PuddleJumper-13B-V2 is a hybrid model that combines the strengths of EverythingLM-V3-13b QLoRa and OpenOrca-Platypus2-13B, suitable for various natural language processing tasks.
Large Language Model
Transformers
Open Source License:Other#Multi-task QA#Knowledge-intensive reasoning#Low-resource optimization
Downloads 100
Release Time : 9/21/2023

Model Overview

This model is a 13B-parameter large language model that integrates training results from two different datasets, aiming to provide more comprehensive language understanding and generation capabilities.

Model Features

Hybrid model
Combines the strengths of EverythingLM-V3-13b QLoRa and OpenOrca-Platypus2-13B to provide more comprehensive language processing capabilities.
Multi-quantization version support
Offers GGUF, AWQ, and GPTQ quantization versions for easy deployment in different hardware environments.
Open evaluation
Comprehensively evaluated on the Open LLM Leaderboard with transparent metrics.

Model Capabilities

Text generation
Question answering
Language understanding
Knowledge reasoning

Use Cases

Education
Intelligent Q&A
Can be used in educational intelligent Q&A systems to answer student questions.
Research
Language model research
Suitable for research and technical validation related to large language models.
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