SeeWye/qwen3_5_automata_ocr_merged1
SeeWye/qwen3_5_automata_ocr_merged1 is a 4.5 billion parameter Qwen3.5-based language model developed by SeeWye, fine-tuned from unsloth/Qwen3.5-4B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it is optimized for specific tasks related to its fine-tuning, likely involving automation and OCR given its name.
Loading preview...
Model Overview
SeeWye/qwen3_5_automata_ocr_merged1 is a 4.5 billion parameter language model developed by SeeWye. It is fine-tuned from the unsloth/Qwen3.5-4B base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training, reportedly achieving 2x faster fine-tuning.
Key Characteristics
- Base Model: Qwen3.5 architecture.
- Parameter Count: 4.5 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Utilizes Unsloth for optimized and faster fine-tuning processes.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
Given its name, automata_ocr_merged1, this model is likely specialized for tasks involving:
- Automation: Processing and understanding structured or semi-structured text for automated workflows.
- Optical Character Recognition (OCR) Post-processing: Enhancing the accuracy and interpretability of text extracted via OCR, correcting errors, or structuring output.
- Document Understanding: Analyzing and extracting information from documents where text might originate from scanned images or require specific formatting for automation.