File size: 1,374 Bytes
76e8506 337502f 76e8506 2161b6c 76e8506 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
---
license: mit
---
## 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) |