wan-wan/test12-dpo
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Feb 27, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The wan-wan/test12-dpo is a 4 billion parameter Qwen3 model developed by wan-wan, fine-tuned using Unsloth and Huggingface's TRL library. This model was trained for increased speed, offering a faster fine-tuning process. It is suitable for applications requiring efficient deployment of a Qwen3-based language model.
Loading preview...
Model Overview
The wan-wan/test12-dpo is a 4 billion parameter Qwen3 model developed by wan-wan. It has been fine-tuned from the wan-wan/test08-checkpoint-266 model, leveraging the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Qwen3
- Parameter Count: 4 billion
- Context Length: 32768 tokens
- Training Efficiency: This model was trained 2x faster due to the use of Unsloth, which optimizes the fine-tuning process.
- License: Released under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for developers and researchers looking for:
- Efficient Deployment: Its optimized training process suggests it can be integrated into applications where rapid fine-tuning and deployment are beneficial.
- Qwen3-based Applications: Ideal for tasks that benefit from the Qwen3 architecture, especially when speed of development is a factor.
- Experimentation: Provides a base for further experimentation and fine-tuning on specific downstream tasks, leveraging its efficient training methodology.