will702/qwen25-3b-alpaca-id-grpo
TEXT GENERATIONConcurrent Unit Cost:1Model Size:3.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 24, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The will702/qwen25-3b-alpaca-id-grpo is a 3.1 billion parameter Qwen2 model developed by will702, fine-tuned from will702/qwen25-3b-alpaca-id-sft. This model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimization for efficient training. It is designed for general language tasks, leveraging its Qwen2 architecture and efficient fine-tuning process.
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Overview
This model, will702/qwen25-3b-alpaca-id-grpo, is a 3.1 billion parameter Qwen2-based language model developed by will702. It has been fine-tuned from the will702/qwen25-3b-alpaca-id-sft model. A notable aspect of its development is the use of Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Parameter Count: 3.1 billion parameters, making it a relatively compact yet capable model.
- Efficient Training: Leverages Unsloth for accelerated fine-tuning, suggesting potential for resource-efficient deployment or further customization.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Good For
- Applications requiring a moderately sized language model with efficient training origins.
- Scenarios where the Qwen2 architecture is preferred.
- Developers interested in models fine-tuned with Unsloth for performance benefits.