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.