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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# Model Card: THOTH_R |
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base_model: AIDC-AI/Marco-o1 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- qwen2 |
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- trl |
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license: apache-2.0 |
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language: |
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- en |
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library_name: transformers |
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--- |
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# Model Overview |
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- **Developed by:** Daemontatox |
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- **Base Model:** AIDC-AI/Marco-o1 |
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- **License:** Apache-2.0 |
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The **THOTH_R** model is a Qwen2-based large language model (LLM) optimized for high-performance text generation tasks. With its streamlined training process and efficient architecture, THOTH_R is a reliable solution for diverse applications requiring natural language understanding and generation. |
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# Key Features |
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- **Accelerated Training:** |
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- Trained **2x faster** with [Unsloth](https://github.com/unslothai/unsloth), a robust training optimization framework. |
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- Integrated with Hugging Face's **TRL** (Transformers Reinforcement Learning) library, enhancing its task-specific adaptability. |
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- **Primary Use Cases:** |
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- Text generation |
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- Creative content creation |
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- Dialogue and conversational AI systems |
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- Question-answering systems |
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--- |
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# Acknowledgements |
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The fine-tuning of THOTH_R was accomplished with love and precision using [Unsloth](https://github.com/unslothai/unsloth). |
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[](https://github.com/unslothai/unsloth) |
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For collaboration, feedback, or contributions, visit the repository or connect with the developers. |
