# lucidrains/RLT

> Unofficial PyTorch implementation of the Recurrent Looped Transformer, a transformer with looped recurrent layers trained on tokens with optional truncated BPTT. Aimed at researchers experimenting with recurrent architectures and effective depth.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 55 total · +0 stars on 2026-09-28 (UTC), ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: MIT · Created: 2026-09-13 · Last push: 2026-09-22
- GitHub: https://github.com/lucidrains/RLT · Page: https://gitnova.dev/en/r/lucidrains/RLT

## Useful for

- Train the model on enwik8 using the provided train_enwik8.py script
- Generate token continuations from a prompt via model.generate
- Compare the recurrent architecture against a standard transformer on your task

## Why it’s here

- The repository is 15 days old and already has 55 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 5
- Issues and pull requests: 1
- Watchers: 2
- Average over the last week: 0 per day
- Usual pace: 3 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 12 days

09-17 1.2, 09-18 0.8, 09-19 0.5, 09-20 0.1, 09-21 0.3, 09-22 0.4, 09-23 0.1, 09-24 0.0, 09-25 0.0, 09-26 0.0, 09-27 0.0, 09-28 0.0

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-28 07:15 UTC, updated every 30 minutes.