llm-jp / BTX-8x152M

huggingface.co
Total runs: 85
24-hour runs: 1
7-day runs: 15
30-day runs: 70
Model's Last Updated: February 27 2025

Introduction of BTX-8x152M

Model Details of BTX-8x152M

Drop-Upcycling
Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization

📄 [Paper] | 🤗 [Hugging Face] 📁 [Dataset] 💻 [Code] | 📊 [Log]

Model Index

We provide model checkpoints for all experiments to ensure reproducibility of the results presented in Tables 1 and 2.

Table 1
Model Link
1 Dense 152M Link
2 MoE FS 8x152M Link
3 MoE BTX 8x152M Link
4 MoE NU 8x152M Link
5 MoE RNU (r=0.5) 8x152M Link
6 MoE DU (r=0.5) 8x152M Link
7 MoE DU (r=1.0) 8x152M Link
8 Dense 1.5B Link
9 MoE FS 8x1.5B Link
10 MoE BTX 8x1.5B Link
11 MoE NU 8x1.5B Link
12 MoE RNU (r=0.5) 8x1.5B Link
13 MoE DU (r=0.5) 8x1.5B Link
14 MoE DU (r=1.0) 8x1.5B Link
Table 2
Model Link
1 Dense 3.7B Link
2 MoE FS 8x3.7B Link
3 MoE DU (r=0.5) 8x3.7B Link
4 Dense 13B Link
5 Dense 3.7B Link
BTX Experts
Model Link
Japanese expert 152M Link
English expert 152M Link
Code expert 152M Link
Japanese expert 1.5B Link
English expert 1.5B Link
Code expert 1.5B Link
How to cite

If you find our work helpful, please feel free to cite.

@inproceedings{
    nakamura2025dropupcycling,
    title={Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization},
    author={Taishi Nakamura and Takuya Akiba and Kazuki Fujii and Yusuke Oda and Rio Yokota and Jun Suzuki},
    booktitle={The Thirteenth International Conference on Learning Representations},
    year={2025},
    url={https://openreview.net/forum?id=gx1wHnf5Vp}
}

Runs of llm-jp BTX-8x152M on huggingface.co

85
Total runs
1
24-hour runs
4
3-day runs
15
7-day runs
70
30-day runs

More Information About BTX-8x152M huggingface.co Model

More BTX-8x152M license Visit here:

https://choosealicense.com/licenses/apache-2.0

BTX-8x152M huggingface.co

BTX-8x152M huggingface.co is an AI model on huggingface.co that provides BTX-8x152M's model effect (), which can be used instantly with this llm-jp BTX-8x152M model. huggingface.co supports a free trial of the BTX-8x152M model, and also provides paid use of the BTX-8x152M. Support call BTX-8x152M model through api, including Node.js, Python, http.

BTX-8x152M huggingface.co Url

https://huggingface.co/llm-jp/BTX-8x152M

llm-jp BTX-8x152M online free

BTX-8x152M huggingface.co is an online trial and call api platform, which integrates BTX-8x152M's modeling effects, including api services, and provides a free online trial of BTX-8x152M, you can try BTX-8x152M online for free by clicking the link below.

llm-jp BTX-8x152M online free url in huggingface.co:

https://huggingface.co/llm-jp/BTX-8x152M

BTX-8x152M install

BTX-8x152M is an open source model from GitHub that offers a free installation service, and any user can find BTX-8x152M on GitHub to install. At the same time, huggingface.co provides the effect of BTX-8x152M install, users can directly use BTX-8x152M installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

BTX-8x152M install url in huggingface.co:

https://huggingface.co/llm-jp/BTX-8x152M

Url of BTX-8x152M

BTX-8x152M huggingface.co Url

Provider of BTX-8x152M huggingface.co

llm-jp
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