Model Overview

The myfi/parser_model_ner_4.04 is a 4 billion parameter language model, fine-tuned by myfi. It is based on the Qwen3 architecture, specifically building upon the unsloth/Qwen3-4B-Instruct-2507 model.

Key Characteristics

• Architecture: Qwen3-based, a powerful causal language model family.
• Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining coherence over extended interactions.
• Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.

Use Cases

This model is suitable for a variety of natural language processing tasks, particularly those benefiting from its instruction-tuned nature and large context window. Its Qwen3 foundation suggests strong capabilities in areas such as:

• Text generation and completion.
• Instruction following and conversational AI.
• Summarization and information extraction from longer documents.
• General language understanding tasks.