# trotsky1997/MathBlackBox

Repository: https://github.com/trotsky1997/MathBlackBox
Canonical: https://ross.abutalabs.com/products/mathblackbox
Language: Python
License Family: other
Last push: 2024-12-17T12:37:59+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 57
- inputs: {"age_days": 811, "days_push": 624, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1033, forks 104 (observed 2026-08-28T04:03:18.387089+00:00)

## What it is
MathBlackBox (MCTSr) is a Python research implementation of Monte Carlo Tree Self-Refine, an algorithm that combines MCTS with LLM self-refinement to solve challenging math problems using models like LLaMA-3 8B. It runs against vLLM or OpenAI-compatible servers and benchmarks on datasets such as GSM8K, MATH, and OlympiadBench.

## Use cases
- solve olympiad math problems with an open-source LLM
- run MCTS self-refine search over gsm8k with llama-3 8b
- benchmark LLM mathematical reasoning on MATH and AIME datasets
- reproduce the MCTSr paper results
- serve a local vllm model and evaluate it on math benchmarks

## When to choose
- you want to reproduce or extend the MCTSr / LLaMA-Berry math reasoning research
- you have GPU resources and a vLLM or OpenAI-compatible inference server
- you need MCTS-style search with early stopping on math benchmarks

## When to avoid
- you need a production-ready math solver or polished application
- you lack GPU infrastructure or a Slurm cluster
- you want a maintained library with a stable API or license

## Facets
- artifact type: library
- maturity: experimental
- function: llm-inference, agent-framework, machine-learning, benchmarking
- domain: large-language-models, mathematics, artificial-intelligence
- platform: python
- tags: mcts, self-refine, mathematical-reasoning, vllm, slurm, research-code, olympiad-math, natural-language-processing, linux, gpu

## Member repositories
- trotsky1997/MathBlackBox (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.387089+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:06:42.286648+00:00, confidence not recorded.
  - readme: https://github.com/trotsky1997/MathBlackBox (fetched 2026-08-28T04:03:18.387089+00:00, sha e8c003386dcf)
- Data as of 2026-08-30T08:39:29.467469+00:00.