jarvis_llama

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Model Details

Model Description

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• 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]

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• Paper [optional]: [More Information Needed]
• Demo [optional]: [https://github.com/cklam12345/jarvis_llama]

Uses

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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

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Training Details

Training Data

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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

Speeds, Sizes, Times [optional]

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Evaluation

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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

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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]

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Glossary [optional]

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