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  ---
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- base_model:
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- - MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured
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  language:
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  - en
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- license: apache-2.0
 
 
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  tags:
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  - DeepSeek
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  - R1
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  - JSON
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  - Unstructured
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  - Structured
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- pipeline_tag: text-generation
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- library_name: transformers
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  ---
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- ```markdown
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  # MasterControlAIML R1-Qwen2.5-1.5b SFT R1 JSON Unstructured-To-Structured Model
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  [![Unsloth](https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png)](https://github.com/unslothai/unsloth)
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  > **Key Highlights:**
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  >
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- > - **Developed by:** [MasterControl]()
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  > - **License:** [Apache-2.0](LICENSE)
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  > - **Finetuned from:** `MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured`
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  > - **Accelerated Training:** Achieved 2x faster training using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
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  ---
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  ## Overview
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  This model is tailored for tasks where mapping unstructured text (e.g., manuals, QA documents) into a structured JSON format is required. It supports hierarchical data extraction based on a given JSON Schema, ensuring that the generated outputs follow the exact structure and rules defined by the schema.
 
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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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+ base_model:
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+ - >-
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+ MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured
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  tags:
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  - DeepSeek
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  - R1
 
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  - JSON
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  - Unstructured
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  - Structured
 
 
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  ---
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  # MasterControlAIML R1-Qwen2.5-1.5b SFT R1 JSON Unstructured-To-Structured Model
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  [![Unsloth](https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png)](https://github.com/unslothai/unsloth)
 
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  > **Key Highlights:**
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  >
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+ > - **Developed by:** [bhaviktheslider](https://github.com/bhaviktheslider)
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  > - **License:** [Apache-2.0](LICENSE)
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  > - **Finetuned from:** `MasterControlAIML/DeepSeek-R1-Strategy-Qwen-2.5-1.5b-Unstructured-To-Structured`
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  > - **Accelerated Training:** Achieved 2x faster training using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
 
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  ---
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+
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  ## Overview
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  This model is tailored for tasks where mapping unstructured text (e.g., manuals, QA documents) into a structured JSON format is required. It supports hierarchical data extraction based on a given JSON Schema, ensuring that the generated outputs follow the exact structure and rules defined by the schema.