11erlangga/grpo-qwen25-3b
The 11erlangga/grpo-qwen25-3b is a 3.1 billion parameter Qwen2-based causal language model, fine-tuned by 11erlangga. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its efficient fine-tuning process.
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Model Overview
The 11erlangga/grpo-qwen25-3b is a 3.1 billion parameter language model, fine-tuned by 11erlangga. It is based on the Qwen2 architecture and was developed using an efficient training methodology.
Key Characteristics
- Architecture: Qwen2-based causal language model.
- Parameter Count: 3.1 billion parameters.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Origin: Fine-tuned from the
11erlangga/sft-qwen25-3b-run1model.
Potential Use Cases
This model is suitable for various natural language processing tasks where a compact yet capable model is beneficial. Its efficient training suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.
License
The model is released under the Apache-2.0 license.