Update README.md

README.md

@@ -12,6 +12,14 @@ datasets:
 - codeparrot/github-code
 - codeparrot/github-code-clean
 - code_x_glue_cc_code_completion_line
+- >-
+  autoevaluate/autoeval-eval-jeffdshen__inverse_superglue_mixedp1-jeffdshen__inverse-63643c-1665558893
+- bentrevett/multi30k
+- edbeeching/decision_transformer_gym_replay
+- psyche/common_crawl
+- Birchlabs/openai-prm800k-solutions-only
+- openchat/openchat_sharegpt4_dataset
+- Open-Orca/OpenOrca
 language:
 - en
 metrics:
@@ -24,196 +32,98 @@ tags:
 - code
 ---
 
-# Model Card for Model ID
+# Model Card for Aiden
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
+Aiden is a large language model (LLM) chatbot developed by or4cl3ai. It is trained on a massive dataset of text and code, and can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
 
 ## Model Details
 
 ### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+Aiden is a factual language model from Hugging Face, trained on a massive dataset of text and code. It is a powerful tool that can be used for a variety of tasks, including:
 
+* Generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way.
+* Identifying and correcting errors in text.
+* Summarizing long pieces of text.
+* Answering your questions in an informative way, even if they are open ended, challenging, or strange.
 
+### Model Specifications
 
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+Aiden is a Transformer-based LLM with 137B parameters. It is trained on a massive dataset of text and code, including the following:
 
-### Model Sources [optional]
+* Books
+* Code
+* Wikipedia articles
+* News articles
+* Social media posts
 
-<!-- Provide the basic links for the model. -->
+### Model Sources
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+* Repository: https://huggingface.co/or4cl3ai/Aiden
+* Paper: https://arxiv.org/abs/2307.09700
+* Demo: https://huggingface.co/or4cl3ai/Aiden
 
 ## Uses
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+Aiden can be used for a variety of tasks, including:
 
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+* Generating text
+* Translating languages
+* Writing different kinds of creative content
+* Answering your questions in an informative way
+* Identifying and correcting errors in text
+* Summarizing long pieces of text
 
-[More Information Needed]
+### Direct Use
 
-### Downstream Use [optional]
+Aiden can be used directly to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. For example, you could use Aiden to generate a poem, translate a document from one language to another, or write a blog post.
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+### Downstream Use
 
-[More Information Needed]
+Aiden can also be used as a component in downstream applications. For example, you could use Aiden to power a chatbot, or to generate text for a synthetic data set.
 
 ### Out-of-Scope Use
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
+Aiden is not intended to be used for any task that could be harmful or discriminatory. For example, you should not use Aiden to generate text that is hateful or offensive, or to translate languages in a way that could be used to spread misinformation.
 
 ## Bias, Risks, and Limitations
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+Aiden is a large language model, and as such, it is subject to a number of biases and limitations. These include:
 
-[More Information Needed]
+* Biases in the training data: Aiden is trained on a massive dataset of text and code, which may contain biases. These biases can be reflected in the text that Aiden generates.
+* Limitations in the model's capabilities: Aiden is a powerful tool, but it is not perfect. It can sometimes generate text that is inaccurate, biased, or offensive.
+* Risks of misuse: Aiden can be misused for a variety of purposes, including generating harmful or offensive text, or spreading misinformation.
 
 ### 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.
+Users of Aiden should be aware of the risks, biases, and limitations of the model. It is important to use Aiden responsibly and ethically.
 
 ## 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 
+To get started with Aiden, you can follow these steps:
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+1. Install the Hugging Face Transformers library.
+2. Clone the Aiden repository.
+3. Download the Aiden model weights.
+4. Load the model in your code.
 
-#### Preprocessing [optional]
+Once you have loaded the model, you can use it to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
 
-[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 -->
+## Training Details
 
-#### Speeds, Sizes, Times [optional]
+Aiden is trained on a massive dataset of text and code. The training data is collected from a variety of sources, including books, code, Wikipedia articles, news articles, and social media posts.
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+The training process is divided into two phases:
 
-[More Information Needed]
+1. Pre-training: The model is pre-trained on a massive dataset of text and code. This pre-training helps the model to learn the basic building blocks of language.
+2. Fine-tuning: The model is fine-tuned on a smaller dataset of text and code that is relevant to the task at hand. This fine-tuning helps the model to improve its performance on the specific task.
 
 ## 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:** [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
+Aiden is evaluated on a variety of tasks, including:
 
-[More Information Needed]
+* Text generation
+* Translation
+* Summarization