# Sea-Snell/JAXSeq

<https://repo.masters-masters.com/en/repos/Sea-Snell/JAXSeq>

[Home](https://repo.masters-masters.com/en) › [Sea-Snell](https://repo.masters-masters.com/en/owners/Sea-Snell) › [JAXSeq](https://repo.masters-masters.com/en/repos/Sea-Snell/JAXSeq)

Sea-Snell/JAXSeq has 209 stars on GitHub. Its RepoMasters card: Prototype tier. Train very large language models in Jax. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [Sea-Snell](https://repo.masters-masters.com/en/owners/Sea-Snell) |
| Stars | 209 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | gpt2, gpt3, huggingface, language-models, opt, deep-learning, flax, jax |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Sea-Snell/JAXSeq](https://github.com/Sea-Snell/JAXSeq) |

## Repository

Train very large language models in Jax.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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- [Sea-Snell/Implicit-Language-Q-Learning · ★ 214 · Python · Prototype](https://repo.masters-masters.com/en/repos/Sea-Snell/Implicit-Language-Q-Learning)

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