Model Card for Model ID

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

Model Details

Model Description

<!-- Provide a longer summary of what this model is. -->

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

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->

[More Information Needed]

Downstream Use [optional]

<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->

[More Information Needed]

Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->

[More Information Needed]

Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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.

[More Information Needed]

Training Details

Training Data

<!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->

[More Information Needed]

Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

Speeds, Sizes, Times [optional]

<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->

[More Information Needed]

Evaluation

<!-- This section describes the evaluation protocols and provides the results. -->

Testing Data, Factors & Metrics

Testing Data

<!-- This should link to a Data Card if possible. -->

[More Information Needed]

Factors

<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->

[More Information Needed]

Metrics

<!-- These are the evaluation metrics being used, ideally with a description of why. -->

[More Information Needed]

Results

Instruction: Write a love letter to Edgar Allan Poe.

Dear Edgar,

You know, after a long wait and a long, hard day, I have decided to make a decision. I've decided to give up the great title of Dear Edgar.

I have many ideas and ideas that need to be written down, but I don't have the time, energy, and focus to keep writing.

I hope that I will never give up and stay an Oscar.

Thank you for writing this letter.

Sincerely,

Contents

Discover the magical world of the moon and of the faces of those around you. Explore its magical secrets and journey


Instruction: Write a tweet announcing Dolly, a large language model from Databricks.

Life is so full of wonders and unforgettable experiences! #lifemeasure #theatre #juliana


Instruction: I'm selling my Nikon D-750, write a short blurb for my ad.

It's a smooth and luxurious looking Nikon D-750 with a slim body that offers precise precision. The shorter camera has plenty of zoom and detail, so I could use it to capture my stunning photos from up close. It looks like a stunningly stunning hit - perfect for the photos!


Instruction: Explain to me the difference between nuclear fission and fusion.

Nuclear fission is a process in which nuclear spins are pushed out of the nucleus, while fusion is a process in which a nucleus spins down and the electrons are pulled down. Nuclear fusion involves the breaking of the bonds between nuclei, allowing for the fusion of the two nuclei, and a fast-axis boost to these bonds.


Instruction: Give me a list of 5 science fiction books I should read next.

I hope to have a listen-able conversation with you.


Summary

Model Examination [optional]

<!-- Relevant interpretability work for the model goes here -->

[More Information Needed]

Environmental Impact

<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->

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

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]