---
title: alphamaze-v0.2
canonical_url: "https://www.modelscope.cn/models/cortexso/alphamaze-v0.2"
md_url: "https://www.modelscope.cn/models/cortexso/alphamaze-v0.2.md"
repository: cortexso/alphamaze-v0.2
last_updated: 2025-08-29
license: mit
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 99
stars: 0
---

# alphamaze-v0.2

> alphamaze-v0.2 - cortexso 在 ModelScope 开源的模型。Developed by Menlo Research, AlphaMaze is a novel model designed to enhance and assess visual reasoning in large language models (LLMs). Unlike approaches that rely on complex image generation, AlphaMaze uses a…

cortexso/alphamaze-v0.2 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: cortexso/alphamaze-v0.2
- **License**: mit
- **Downloads**: 99
- **Stars**: 0
- **Last updated**: 2025-08-29

Source: https://www.modelscope.cn/models/cortexso/alphamaze-v0.2

---

## Overview

Developed by Menlo Research, AlphaMaze is a novel model designed to enhance and assess visual reasoning in large language models (LLMs). Unlike approaches that rely on complex image generation, AlphaMaze uses a surprisingly simple task: solving text-based mazes. This requires the LLM to internally reconstruct the maze, plan its path, and strategically reset after dead ends. To further improve AlphaMaze's capabilities, we utilize the GRPO (Generalized Relative Policy Optimization) method. The AlphaMaze model itself offers a richer, more nuanced assessment of spatial understanding than traditional multiple-choice tests.
## Variants

| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [gguf](https://huggingface.co/cortexso/alphamaze-v0.2) | `cortex run alphamaze-v0.2` |


## Use it with Jan (UI)

1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
    ```text
    cortexso/alphamaze-v0.2
    ```
## Use it with Cortex (CLI)

1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
    ```bash
    cortex run alphamaze-v0.2
    ```
## Credits

- **Author:** HomebrewResearch
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
- **Original License:** [License]()
- **Papers:** [Papers](https://arxiv.org/abs/2502.14669)