Update README.md

README.md

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 ---
 license: apache-2.0
+language:
+- en
+library_name: transformers
+datasets:
+- budecosystem/intellecta
 ---
+
+<div align="center"><img src="https://raw.githubusercontent.com/BudEcosystem/boomer/main/assets/boomer-logo.png" width=200></div>
+
+
+<p align="center"><i>Democratizing access to LLMs for the open-source community.<br>Let's advance AI, together. </i></p>
+
+----
+
+## Introduction 🎉
+
+We are thrilled to announce the open-sourcing of our boomer-634m model, an important milestone in our ongoing AI research. This model, with 634 million parameters, was meticulously pre-trained from scratch on a custom synthetic dataset comprising 12 billion tokens.
+
+
+
+## Run the model
+
+Here is a quick guide to get you started with boomer-634m:
+Please note that, at the moment, `trust_remote_code=True` is required for running the model.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("budecosystem/boomer-634m",
+                                             trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("budecosystem/boomer-634m")
+
+input_ids = tokenizer("Explain why the sky is blue.", return_tensors='pt').to(model.device)["input_ids"]
+outputs = model.generate(input_ids, max_new_tokens=216)
+print(tokenizer.batch_decode(outputs))
+
+```
+
+## Evaluations
+
+The boomer-634m model has been rigorously evaluated on various benchmarks, showcasing its robust performance across different tasks:
+
+Model Name	MMLU	ARC	Hellaswag	GSM8K	Winogrande	MathQA	logiqa
+boomer-634m	25.91	29.86	39.24	1.67	50.67	23.55	28.42
+
+
+
+### Final thought on Boomer!
+
+Embarking on the journey with boomer-634m is just the beginning. We are committed to developing more advanced, efficient, and accessible AI models. Join us in this exciting adventure to shape the future of AI. 
+
+
+### Aknowledgements
+
+Our heartfelt thanks go to the open-source community and the trailblazers in AI research whose work has paved the way for innovations like boomer-634m.