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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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--- |
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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 | [Marco-o1-8b](https://huggingface.co/cortexso/marco-o1/tree/8b) | `cortex run marco-o1:8b` | |
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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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- **Author:** AIDC-AI |
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- **Converter:** [Homebrew](https://homebrew.ltd/) |
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- **Original License:** [Licence](https://huggingface.co/AIDC-AI/Marco-o1/blob/main/LICENSE) |
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- **Papers:** [Paper](https://arxiv.org/abs/2411.14405) |
