This is the Windows app named TreeQuest whose latest release can be downloaded as v0.1.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
TreeQuest
DESCRIPTION:
TreeQuest, developed by SakanaAI, is a versatile Python library implementing adaptive tree search algorithms—such as AB‑MCTS—for enhancing inference-time performance of large language models (LLMs). It allows developers to define custom state-generation and scoring functions (e.g., via LLMs), and then efficiently explores possible answer trees during runtime. With support for multi-LLM collaboration, checkpointing, and mixed policies, TreeQuest enables smarter, trial‑and‑error question answering by leveraging both breadth (multiple attempts) and depth (iterative refinement) strategies to find better outputs dynamically
Features
- AB‑MCTS-A and AB‑MCTS‑M algorithms
- Support for multi‑LLM generation strategies
- Custom node-generation and scoring via user functions
- Efficient checkpointing and resume capabilities
- Pythonic, lightweight API for search control
- Built-in utilities for extracting top‑k states
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/treequest.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.