wan-wan/test16-dpo
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Feb 28, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
wan-wan/test16-dpo is a 4 billion parameter Qwen3 model developed by wan-wan, fine-tuned for specific tasks. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It offers a context length of 32768 tokens, making it suitable for applications requiring extensive context processing.
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Model Overview
wan-wan/test16-dpo is a 4 billion parameter Qwen3 model developed by wan-wan. This model is a fine-tuned variant, building upon the wan-wan/test08-checkpoint-266 base model. A key characteristic of its development is the utilization of Unsloth and Huggingface's TRL library, which significantly accelerated its training process, achieving speeds twice as fast as conventional methods.
Key Capabilities
- Efficient Training: Leverages Unsloth and Huggingface's TRL for optimized and rapid fine-tuning.
- Extended Context: Supports a substantial context length of 32768 tokens, suitable for processing long inputs.
- Qwen3 Architecture: Based on the Qwen3 model family, inheriting its foundational capabilities.
Good For
- Applications requiring a Qwen3-based model with specific fine-tuning.
- Use cases benefiting from a model trained with accelerated methods.
- Tasks that demand processing of long sequences due to its large context window.