Feature Extraction
Transformers
Safetensors
English
bamboo
custom_code
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@@ -75,9 +75,20 @@ We utilize [PowerInfer](https://arxiv.org/pdf/2312.12456.pdf), a state-of-the-ar
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  - Bamboo, having undergone training with only 200B tokens, may still exhibit performance gaps in certain tasks.
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  - The Bamboo model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking.
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-
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  - The model may produce unexpected outputs due to its size and probabilistic generation paradigm.
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  ## License
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- The code is licensed under Apache-2.0, while model weights are fully open for academic research and also allow **free** commercial usage.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Bamboo, having undergone training with only 200B tokens, may still exhibit performance gaps in certain tasks.
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  - The Bamboo model has only been trained on English-language datasets, hence its capabilities in other languages are still lacking.
 
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  - The model may produce unexpected outputs due to its size and probabilistic generation paradigm.
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  ## License
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+ The code is licensed under Apache-2.0, while model weights are fully open for academic research and also allow **free** commercial usage.
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+ ## Citation:
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+ Please kindly cite using the following BibTeX:
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+ ```
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+ @misc{bamboo,
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+ title={Bamboo: Explore the boundry between sparsity and performace in LLM},
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+ author={Yixin Song, Haotong Xie, Zeyu Mi},
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+ year={2024}
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+ }
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+ ```