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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 open-sourcing one of our early experiments of <a href="https://arxiv.org/abs/2402.17764"> BitNet b1.58</a> paper. This 634m parameter model is pre-trained from scratch using a custom synthetic dataset of 5B tokens. The model's architecture experiments contain the modification of using higher depth and shallow configuration |
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## Run the model |
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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-bitnet-634m", |
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trust_remote_code=True) |
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tokenizer = AutoTokenizer.from_pretrained("budecosystem/boomer-bitnet-634m") |
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input_ids = tokenizer("In the recent Super Bowl LVIII,", 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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We have evaluated the pre-trained model on few of the benchmarks |
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| Model Name | ARC | MMLU | Winogrande | Hellaswag | MathQA | GSM8K | |
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|:----------:|:--------:|:----:|:----------:|:---------:|:-----: |:----:| |
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| boomer-bitnet-634m | 26.19 | 25.23 | 51.07 | 34.08 | 23.38 | 0.91 | |
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### Final thought on Boomer! |
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This isn't the end. It's just the beginning of a journey towards creating more advanced, more efficient, and more accessible language models. We invite you to join us on this exciting journey. |
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### Aknowledgements |
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We'd like to thank the open-source community and the researchers whose foundational work laid the path for BOOMER. Special shoutout to team who published BitNet b1.58 paper. |
