Update README.md

README.md

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 ---
 license: wtfpl
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- llama
+- w++
+- meme++
+- tiny
 ---
+
+# Model Card for Model ID
+
+Meme++ generator.
+
+## Model Details
+
+### Model Description
+
+This is a tiny LLaMA model trained from scratch for 31000 steps (253952000 tokens) out of `i forgor :skull:`.
+
+- **Developed by:** mrsteyk
+- **Model type:** LLaMA
+- **Language(s) (NLP):** English
+- **License:** WTFPL
+
+### Model Sources [optional]
+
+- **Repository:** maybe someday
+
+## Uses
+
+This was intended for Meme++ character chard generation, trained a small demo.
+
+### Direct Use
+
+Random Meme++ card generation.
+
+### Out-of-Scope Use
+
+CSAM related stuff.
+
+## Bias, Risks, and Limitations
+
+This model was trained on a randomly scraped DataSet, I tried filtering 
+
+### 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
+
+Meme++ character definition taken off the internet.
+
+### Training Procedure 
+
+This was trained using `lit-llama` based model code and `pytorch-lightning` CLI based trainer code.
+
+
+#### Training Hyperparameters
+
+- **Training regime:** fp32
+- **Optimizer and LR:** DeepSpeed FusedAdamW with 1e-5
+
+#### 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
+
+[W&B run](https://wandb.ai/mrsteyk/memepp-llama/runs/44e3aut4)
+
+## 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:** 1050 Ti Mobile
+- **Hours used:** ~6
+- **Cloud Provider:** Local Machine(C)(TM)
+- **Compute Region:** RU
+- **Carbon Emitted:** ~~450kg~~
+
+## 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]