# Haiyang-W/TokenFormer

<https://repo.masters-masters.com/en/repos/Haiyang-W/TokenFormer>

[Home](https://repo.masters-masters.com/en) › [Haiyang-W](https://repo.masters-masters.com/en/owners/Haiyang-W) › [TokenFormer](https://repo.masters-masters.com/en/repos/Haiyang-W/TokenFormer)

Haiyang-W/TokenFormer has 596 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICLR2025 Spotlight🔥\] Official Implementation of TokenFormer: Rethinking…

| Field | Value |
| --- | --- |
| Owner | [Haiyang-W](https://repo.masters-masters.com/en/owners/Haiyang-W) |
| Stars | 596 |
| Forks | 42 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | architecture, foundation-models, llm, scaling-methods, transformer, attention-mechanism |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Haiyang-W/TokenFormer](https://github.com/Haiyang-W/TokenFormer) |

## Repository

\[ICLR2025 Spotlight🔥\] Official Implementation of TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.