myfi/parser_model_ner_4.6
The myfi/parser_model_ner_4.6 is a 4 billion parameter Qwen3-based instruction-tuned causal language model developed by myfi, fine-tuned from unsloth/Qwen3-4B-Instruct-2507. This model was trained with Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The myfi/parser_model_ner_4.6 is a 4 billion parameter instruction-tuned model developed by myfi. It is based on the Qwen3 architecture and was fine-tuned from the unsloth/Qwen3-4B-Instruct-2507 model.
Key Characteristics
- Efficient Training: This model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- Qwen3 Architecture: Leverages the robust capabilities of the Qwen3 base model for strong performance in various language understanding and generation tasks.
Use Cases
This model is suitable for general instruction-following applications where efficient training and a compact 4 billion parameter size are beneficial. Its fine-tuned nature makes it adept at responding to user prompts and performing tasks as instructed.