SamsungSAILMontreal/TinyRecursiveModels

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

6566 stars · 1039 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official codebase for the Tiny Recursive Model (TRM) paper, a recursive reasoning approach where a tiny 7M-parameter neural network iteratively improves its answers on hard reasoning tasks like ARC-AGI. It provides training and evaluation code implemented in Python.

Use cases

• train a tiny 7M parameter model on ARC-AGI puzzles
• reproduce recursive reasoning results from the TRM paper
• experiment with small networks that solve hard reasoning tasks without LLMs
• compare TRM against the Hierarchical Reasoning Model baseline
• run experiments on Sudoku-Extreme and other reasoning benchmarks

When to choose

• you want to train or reproduce tiny recursive reasoning models from scratch
• you need a parameter-efficient alternative to large LLMs for structured reasoning tasks
• you are researching recursive reasoning or ARC-AGI benchmarks

When to avoid

• you need a production-ready inference library or API
• you expect active maintenance - the repo has been archived as read-only
• you want a general-purpose LLM framework or pretrained foundation model

Facets

library · maturity maintenance

machine-learning deep-learning llm-training machine-learning deep-learning artificial-intelligence python recursive-reasoning tiny-networks arc-agi research-code small-language-models gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SamsungSAILMontreal/TinyRecursiveModels")