
# Model Card for Cerebras 111M Dollyfied.

This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework

## Model Details

### Model Description

This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions.

It was accomplished using DataBricks Dolly training tools, and was trained for 2 epochs.

- **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:** https://huggingface.co/cerebras/Cerebras-GPT-111m
- **Finetuned using:** https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html

## 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 suspect at best.

### Direct Use

If you have a use you put it to, Please let me know.

[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

Any form of use where any form of accuracy is needed.
FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS.
or financial advice.

[More Information Needed]

## Bias, Risks, and Limitations

Limitations... Yes, I am sure there are so so many.

[More Information Needed]

## 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

[More Information Needed]

#### 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:** 8xA100s (accomplished while I was downloading the model I was actually training.)
- **Minutes used:** 7.5
- **Cloud Provider:** LambdaGPU
- **Compute Region:** USA
- **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. -->

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## More Information [optional]

[More Information Needed]

## Model Card Authors [optional]

[More Information Needed]

## Model Card Contact

[More Information Needed]
{"language": ["en"], "license": "apache-2.0", "datasets": ["the_pile", "guanaco/guanaco"]}
transformers pytorch tensorboard safetensors gpt2 text-generation en dataset:the_pile dataset:guanaco/guanaco arxiv:1910.09700 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #gpt2 #text-generation #en #dataset-the_pile #dataset-guanaco/guanaco #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# Model Card for Cerebras 111M Dollyfied.

This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework

## Model Details

### Model Description

This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions.

It was accomplished using DataBricks Dolly training tools, and was trained for 2 epochs.

- 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: URL
- Finetuned using: 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 suspect at best.

### Direct Use

If you have a use you put it to, Please let me know.



### Downstream Use [optional]





### Out-of-Scope Use

Any form of use where any form of accuracy is needed.
FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS.
or financial advice.



## Bias, Risks, and Limitations

Limitations... Yes, I am sure there are so so many.



## 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



#### 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: 8xA100s (accomplished while I was downloading the model I was actually training.)
- Minutes used: 7.5
- Cloud Provider: LambdaGPU
- Compute Region: USA
- 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 Cerebras 111M Dollyfied.

This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework ## Model Details ### Model Description

This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions.

It was accomplished using DataBricks Dolly training tools, and was trained for 2 epochs.

- 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: URL
- Finetuned using: 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 suspect at best. ### Direct Use

If you have a use you put it to, Please let me know. ### Downstream Use [optional] ### Out-of-Scope Use

Any form of use where any form of accuracy is needed.
FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS.
or financial advice. ## Bias, Risks, and Limitations

Limitations... Yes, I am sure there are so so many. ## 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 #### 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: 8xA100s (accomplished while I was downloading the model I was actually training.)
- Minutes used: 7.5
- Cloud Provider: LambdaGPU
- Compute Region: USA
- 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 #tensorboard #safetensors #gpt2 #text-generation #en #dataset-the_pile #dataset-guanaco/guanaco #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # Model Card for Cerebras 111M Dollyfied.

This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework ## Model Details ### Model Description

This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions.

It was accomplished using DataBricks Dolly training tools, and was trained for 2 epochs.

- 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: URL
- Finetuned using: 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 suspect at best. ### Direct Use

If you have a use you put it to, Please let me know. ### Downstream Use [optional] ### Out-of-Scope Use

Any form of use where any form of accuracy is needed.
FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS.
or financial advice. ## Bias, Risks, and Limitations

Limitations... Yes, I am sure there are so so many. ## 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 #### 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: 8xA100s (accomplished while I was downloading the model I was actually training.)
- Minutes used: 7.5
- Cloud Provider: LambdaGPU
- Compute Region: USA
- 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 #tensorboard #safetensors #gpt2 #text-generation #en #dataset-the_pile #dataset-guanaco/guanaco #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# Model Card for Cerebras 111M Dollyfied.

This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework## Model Details### Model Description

This is a finetuned version of cerebras' 111million paramater model that has been trained to follow instructions.

It was accomplished using DataBricks Dolly training tools, and was trained for 2 epochs.

- 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: URL
- Finetuned using: 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 suspect at best.### Direct Use

If you have a use you put it to, Please let me know.### Downstream Use [optional]### Out-of-Scope Use

Any form of use where any form of accuracy is needed.
FOR THE LOVE OF GOD DO NOT FOLLOW MEDICAL ADVICE FROM THIS.
or financial advice.## Bias, Risks, and Limitations

Limitations... Yes, I am sure there are so so many.## 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#### 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: 8xA100s (accomplished while I was downloading the model I was actually training.)
- Minutes used: 7.5
- Cloud Provider: LambdaGPU
- Compute Region: USA
- 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