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--- |
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license: apache-2.0 |
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language: |
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- en |
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library_name: transformers |
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datasets: |
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- budecosystem/intellecta |
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--- |
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<div align="center"><img src="https://raw.githubusercontent.com/BudEcosystem/boomer/main/assets/boomer-logo.png" width=200></div> |
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<p align="center"><i>Democratizing access to LLMs for the open-source community.<br>Let's advance AI, together. </i></p> |
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---- |
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## Introduction 🎉 |
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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. |
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## Run the model |
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Here is a quick guide to get you started with boomer-634m: |
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Please note that, at the moment, `trust_remote_code=True` is required for running the model. |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model = AutoModelForCausalLM.from_pretrained("budecosystem/boomer-634m", |
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trust_remote_code=True) |
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tokenizer = AutoTokenizer.from_pretrained("budecosystem/boomer-634m") |
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input_ids = tokenizer("Explain why the sky is blue.", return_tensors='pt').to(model.device)["input_ids"] |
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outputs = model.generate(input_ids, max_new_tokens=216) |
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print(tokenizer.batch_decode(outputs)) |
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``` |
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## Evaluations |
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The boomer-634m model has been rigorously evaluated on various benchmarks, showcasing its robust performance across different tasks: |
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| Model Name | MMLU | ARC | Hellaswag | GSM8K | Winogrande | MathQA | logiqa | |
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|--------------|-------|-------|-----------|-------|------------|--------|--------| |
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| boomer-634m | 25.91 | 29.86 | 39.24 | 1.67 | 50.67 | 23.55 | 28.42 | |
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### Final thought on Boomer! |
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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. |
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### Aknowledgements |
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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. |
