---
license: cc-by-nc-4.0
datasets:
- tatsu-lab/alpaca
language:
- en
---
# 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. -->



- **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

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

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

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

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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!

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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.

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

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

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#### Summary



## Model Examination [optional]

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## 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](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]

## 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]

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

**BibTeX:**

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**APA:**

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## Glossary [optional]

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

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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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