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TITLE:BitNet (Scaling 1-bit Transformers for Large Language Models)

- https://www.microsoft.com/en-us/research/publication/bitnet-scaling-1-bit-transformers-for-large-language-models/
- https://arxiv.org/abs/2310.11453
--  https://arxiv.org/pdf/2310.11453.pdf

- https://github.com/microsoft/unilm/blob/master/bitnet/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf

- https://github.com/kyegomez/BitNet
- https://github.com/shi3z/BitNet

*1.58 Bits [#t4c2ac80]

- https://arxiv.org/abs/2402.17764
--  https://arxiv.org/pdf/2402.17764.pdf
- [[BitNet/1.58]]

- https://github.com/Beomi/BitNet-Transformers/
- https://github.com/frodo821/BitNet-Transformers
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https://twitter.com/BoufrawFrodo2/status/1763435835935047789
オリジナルのBitNetを1.58bの論文に従って3値にするように修正しました

- Microsoftが1.58ビットの大規模言語モデルをリリース、行列計算を足し算にできて計算コスト激減へ
--  https://gigazine.net/news/20240229-microsoft-1bit-llm/

- 1ビットLLMの衝撃! 70Bで8.9倍高速　全ての推論を加算のみで!GPU不要になる可能性も
--  https://topics.smt.docomo.ne.jp/article/wirelesswire/business/wirelesswire-20240286094?

- https://twitter.com/andrew_n_carr/status/1770487200234213758?s=12
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1.58 bit code is out (in an appendix)
https://github.com/microsoft/unilm/blob/master/bitnet/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf

https://pbs.twimg.com/media/GJIIs1ZbcAA7hzM?format=jpg&name=small#.jpg


*. [#z7c55994]

- BitNet
--  https://qiita.com/fuyu_quant/items/fa4fc3930ddfd2ec6f16
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※BitNetそのものを検証した記事ではなく，BitNetで使われているレイヤーを使った簡単なNNモデルを作成し検証しています．