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https://github.com/itanmaysharma/bitnet-1.58b

This project showcases the cutting-edge 1-bit LLM architecture as outlined in recent whitepapers, emphasizing efficient training, inference, and fostering open-source collaboration.
https://github.com/itanmaysharma/bitnet-1.58b

1-bit-quantization deep-learning large-language-models llm nlp-machine-learning pytorch

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This project showcases the cutting-edge 1-bit LLM architecture as outlined in recent whitepapers, emphasizing efficient training, inference, and fostering open-source collaboration.

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# Bitnet 1.58 Implementation

## Original Paper
* [BitNet: Scaling 1-bit Transformers for Large Language Models](https://github.com/puneetkakkar/bitnet-1.58/blob/main/original-whitepaper/2310.11453.pdf)
* [The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits](https://github.com/puneetkakkar/bitnet-1.58/blob/main/original-whitepaper/2402.17764v1.pdf)
* [The Era of 1-bit LLMs: Training Tips, Code and FAQ](https://github.com/puneetkakkar/bitnet-1.58/blob/main/original-whitepaper/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf)

## Collaborators
- [Puneet Kakkar](https://github.com/puneetkakkar)
- [Arush Kumar](https://github.com/arushkumar05)
- [Tanmay Sharma](https://github.com/itanmaysharma)

## Acknowledgements
* [BitNet](https://github.com/kyegomez/BitNet)
* [BitNet Transformers](https://github.com/Beomi/BitNet-Transformers)