# 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

<!-- 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

- **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]

<!-- 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](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

[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]



{"language": ["en"], "license": "cc-by-nc-4.0", "datasets": ["tatsu-lab/alpaca"]}
transformers pytorch safetensors gpt2 text-generation en dataset:tatsu-lab/alpaca arxiv:1910.09700 license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #en #dataset-tatsu-lab/alpaca #arxiv-1910.09700 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

# Model Card for Model ID

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

## Model Details

### Model Description





- Developed by: Finetuned by Corianas (me) using open source tools
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): EN
- License: cc-by-nc-4.0
- Finetuned from model [optional]: URL

## 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





### Downstream Use [optional]





### Out-of-Scope Use





## Bias, Risks, and Limitations





### 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.



## Training Details

### Training Data





### Training Procedure 



#### Preprocessing [optional]




#### Training Hyperparameters

- Training regime:  

#### Speeds, Sizes, Times [optional]





## Evaluation



### Testing Data, Factors & Metrics

#### Testing Data





#### Factors





#### Metrics





### 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]





## Environmental Impact



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

- Hardware Type: 
- Hours used: 
- Cloud Provider: 
- Compute Region: 
- Carbon Emitted: 

## Technical Specifications [optional]

### Model Architecture and Objective



### Compute Infrastructure



#### Hardware



#### Software



[optional]



BibTeX:



APA:



## Glossary [optional]





## More Information [optional]



## Model Card Authors [optional]



## Model Card Contact





# Model Card for Model ID

This is a finetuned model of Cerebras 256M model using DataBricksLabs Dolly Framework ## Model Details ### Model Description





- Developed by: Finetuned by Corianas (me) using open source tools
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): EN
- License: cc-by-nc-4.0
- Finetuned from model [optional]: URL ## 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 ### Downstream Use [optional] ### Out-of-Scope Use ## Bias, Risks, and Limitations ### 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. ## Training Details ### Training Data ### Training Procedure #### Preprocessing [optional] #### Training Hyperparameters

- Training regime: #### Speeds, Sizes, Times [optional] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data #### Factors #### Metrics ### 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] ## Environmental Impact



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

- Hardware Type: 
- Hours used: 
- Cloud Provider: 
- Compute Region: 
- Carbon Emitted: ## Technical Specifications [optional] ### Model Architecture and Objective ### Compute Infrastructure #### Hardware #### Software



[optional]



BibTeX:



APA: ## Glossary [optional] ## More Information [optional] ## Model Card Authors [optional] ## Model Card Contact
TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #en #dataset-tatsu-lab/alpaca #arxiv-1910.09700 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Card for Model ID

This is a finetuned model of Cerebras 256M model using DataBricksLabs Dolly Framework ## Model Details ### Model Description





- Developed by: Finetuned by Corianas (me) using open source tools
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): EN
- License: cc-by-nc-4.0
- Finetuned from model [optional]: URL ## 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 ### Downstream Use [optional] ### Out-of-Scope Use ## Bias, Risks, and Limitations ### 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. ## Training Details ### Training Data ### Training Procedure #### Preprocessing [optional] #### Training Hyperparameters

- Training regime: #### Speeds, Sizes, Times [optional] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data #### Factors #### Metrics ### 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] ## Environmental Impact



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

- Hardware Type: 
- Hours used: 
- Cloud Provider: 
- Compute Region: 
- Carbon Emitted: ## Technical Specifications [optional] ### Model Architecture and Objective ### Compute Infrastructure #### Hardware #### Software



[optional]



BibTeX:



APA: ## Glossary [optional] ## More Information [optional] ## Model Card Authors [optional] ## Model Card Contact
TAGS
#transformers #pytorch #safetensors #gpt2 #text-generation #en #dataset-tatsu-lab/alpaca #arxiv-1910.09700 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Card for Model ID

This is a finetuned model of Cerebras 256M model using DataBricksLabs Dolly Framework## Model Details### Model Description





- Developed by: Finetuned by Corianas (me) using open source tools
- Shared by [optional]: 
- Model type: 
- Language(s) (NLP): EN
- License: cc-by-nc-4.0
- Finetuned from model [optional]: URL## 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### Downstream Use [optional]### Out-of-Scope Use## Bias, Risks, and Limitations### 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.## Training Details### Training Data### Training Procedure#### Preprocessing [optional]#### Training Hyperparameters

- Training regime:#### Speeds, Sizes, Times [optional]## Evaluation### Testing Data, Factors & Metrics#### Testing Data#### Factors#### Metrics### 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]## Environmental Impact



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

- Hardware Type: 
- Hours used: 
- Cloud Provider: 
- Compute Region: 
- Carbon Emitted:## Technical Specifications [optional]### Model Architecture and Objective### Compute Infrastructure#### Hardware#### Software



[optional]



BibTeX:



APA:## Glossary [optional]## More Information [optional]## Model Card Authors [optional]## Model Card Contact