Text Generation
PEFT
PyTorch
llama

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Automated merge conflict resolution

Model Details

Peft finetune of CodeLlama-7b

Model Description

  • Developed by: DreamcatcherAI
  • License: llama2
  • Finetuned from model [optional]: CodeLlama-7b

Model Sources [optional]

  • Repository: codys12/MergeLlama-7b
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Input should be formatted as

<<<<<<<
Current change
=======
Incoming change
>>>>>>>

MergeLlama will provide the resolution. You can chain multiple conflicts/resolutions for improved context

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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Training procedure

Framework versions

  • PEFT 0.6.0.dev0
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