Quokka_256m

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Model Card for Model ID

This is a finetuned model of Cerebras 256M model using DataBricksLabs Dolly Framework

Model Details

Model Description

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• Developed by: Finetuned by Corianas (me) using open source tools
• Shared by [optional]: [More Information Needed]
• Model type: [More Information Needed]
• Language(s) (NLP): EN
• License: cc-by-nc-4.0
• Finetuned from model [optional]: https://huggingface.co/cerebras/Cerebras-GPT-256M

Uses

This is a simple GPT chatbot that has been finetuned to understand instructions. Its knowledge about facts about the world is should be considered almost non-existant.

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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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

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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).

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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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BibTeX:

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APA:

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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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Open LLM Leaderboard Evaluation Results

Detailed results can be found here