taharmasmaliyev07/Qwen-3-4B-b16-tuned-full
The taharmasmaliyev07/Qwen-3-4B-b16-tuned-full is a 4 billion parameter Qwen3 model, developed by taharmasmaliyev07. This model was finetuned from unsloth/Qwen3-4B and optimized for training speed using Unsloth and Huggingface's TRL library. It offers a 32768 token context length, making it suitable for applications requiring efficient processing of longer sequences.
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Overview
This model, taharmasmaliyev07/Qwen-3-4B-b16-tuned-full, is a 4 billion parameter Qwen3-based language model developed by taharmasmaliyev07. It was finetuned from the unsloth/Qwen3-4B base model.
Key Characteristics
- Architecture: Qwen3 family.
- Parameter Count: 4 billion parameters.
- Context Length: Supports a 32768 token context window.
- Training Optimization: The model was trained significantly faster (2x) by leveraging the Unsloth library in conjunction with Huggingface's TRL library.
Use Cases
This model is particularly well-suited for scenarios where efficient training and deployment of a Qwen3-based model are critical. Its optimized training process suggests potential benefits for developers looking to quickly adapt or fine-tune similar models for specific tasks, while its substantial context length supports applications requiring processing of extensive text inputs.