Pyligent
Pyligent is a framework for reinforcement learning through search-based reasoning, implementing concepts from From Reasoning to Super-Intelligence: A Search-Theoretic Perspective.
Installation
Note: Pyligent requires PyTorch. Please install the version appropriate for your hardware before installing Pyligent.
1. Install PyTorch
Using uv:
Check the official guide
For CPU-only environments:
pip install torch --index-url https://download.pytorch.org/whl/cpu
For CUDA 12.8 environments:
pip install torch --index-url https://download.pytorch.org/whl/cu128
(For other CUDA versions, please refer to the PyTorch Get Started guide.)
2. Install Pyligent
Once PyTorch is installed:
pip install pyligent
or
uv add pyligent
Quick Start
import pyligent
# Your quick start example here
Key Features
- Search-based reasoning for transformer models
- PyTorch-based implementation with PEFT support
- GPU acceleration support (via CUDA-enabled PyTorch)
- Fine-tuning and evaluation pipelines
Requirements
- Python ≥ 3.13
- PyTorch ≥ 2.8.0 (must be installed manually, see Installation above)
Metadata
Release files for pyligent 0.2.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| pyligent-0.2.5.tar.gz | 23.0 MB | Without provenance | Details for pyligent-0.2.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyligent-0.2.5-py3-none-any.whl | Python 3 | none | any | Details for pyligent-0.2.5-py3-none-any.whl |
Total release size: 46.5 MB
Release files / pyligent-0.2.5.tar.gz
| Download URL | pyligent-0.2.5.tar.gz |
|---|---|
| Size | 23.0 MB |
| Tags | Source |
|
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Release files / pyligent-0.2.5-py3-none-any.whl
| Download URL | pyligent-0.2.5-py3-none-any.whl |
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| Size | 23.5 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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