myfi/parser_model_ner_4.04
The myfi/parser_model_ner_4.04 is a 4 billion parameter Qwen3-based instruction-tuned language model developed by myfi. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging its 32768 token context length for comprehensive processing.
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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.