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Model Details

Model Description

  • Developed by: [cklam]
  • Funded by [optional]: [patho.ai]
  • Shared by [optional]: [cklam]
  • Model type: [llama 7B fined tuned with jarvis datasets]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [llama 7B]

Model Sources [optional]

Uses

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

  • Training regime: [More Information Needed]

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).

  • Hardware Type: [AMD GPU/FPGA preferred, Nvidia H100 overheated after 2 hours training]
  • Hours used: [300]
  • Cloud Provider: [patho.ai]
  • Compute Region: [USA]
  • Carbon Emitted: [100% Solar Farmed Energy]

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]

BibTeX:

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APA:

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Glossary [optional]

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More Information [optional]

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Model Card Authors [optional]

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Model Card Contact

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Model size
13B params
Architecture
llama
Inference API
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