rambling1228/dpo-qwen-cot-merged
The rambling1228/dpo-qwen-cot-merged is a 4 billion parameter Qwen3-based causal language model developed by rambling1228. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
The rambling1228/dpo-qwen-cot-merged is a 4 billion parameter language model based on the Qwen3 architecture. Developed by rambling1228, this model has been fine-tuned using a combination of Unsloth and Huggingface's TRL library. This approach allowed for a significantly faster training process, specifically noted as 2x faster.
Key Characteristics
- Base Model: Qwen3-4B-Instruct
- Parameter Count: 4 billion
- Context Length: 32768 tokens
- Training Method: Fine-tuned with Unsloth and Huggingface's TRL library for accelerated training.
- License: Apache-2.0
Intended Use Cases
This model is suitable for a variety of general-purpose language generation and instruction-following tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its optimized training process suggests a focus on delivering capable performance within a 4B parameter footprint.