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README.md
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license: other
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---
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## Overview
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## Variants
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| No | Variant | Cortex CLI command |
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| 1 | [gguf] | `cortex run ` |
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## Use it with Jan (UI)
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1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
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2. Use in Jan model Hub:
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```
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cortexhub/
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```
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## Use it with Cortex (CLI)
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1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
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2. Run the model with command:
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```
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cortex run
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```
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## Credits
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---
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license: other
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pipeline_tag: text-generation
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tags:
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- cortex.cpp
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## Overview
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Marco-o1 not only focuses on disciplines with standard answers, such as mathematics, physics, and coding—which are well-suited for reinforcement learning (RL)—but also places greater emphasis on open-ended resolutions. We aim to address the question: "Can the o1 model effectively generalize to broader domains where clear standards are absent and rewards are challenging to quantify?"
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Currently, Marco-o1 Large Language Model (LLM) is powered by Chain-of-Thought (CoT) fine-tuning, Monte Carlo Tree Search (MCTS), reflection mechanisms, and innovative reasoning strategies—optimized for complex real-world problem-solving tasks.
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## Variants
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| No | Variant | Cortex CLI command |
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| --- | --- | --- |
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| 1 | [gguf] | `cortex run marco-o1` |
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## Use it with Jan (UI)
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1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
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2. Use in Jan model Hub:
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```bash
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cortexhub/marco-o1
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```
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## Use it with Cortex (CLI)
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1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
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2. Run the model with command:
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```bash
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cortex run marco-o1
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```
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## Credits
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