AFP7/Qwen-Indo-GRPO
AFP7/Qwen-Indo-GRPO is a 3.1 billion parameter Qwen2-based language model developed by AFP7, fine-tuned from AFP7/Qwen-Indo-SFT. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.
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Model Overview
AFP7/Qwen-Indo-GRPO is a 3.1 billion parameter Qwen2-based language model developed by AFP7. It is a fine-tuned version of the AFP7/Qwen-Indo-SFT model, indicating a specialized training phase building upon a supervised fine-tuned base.
Key Training Details
This model distinguishes itself through its training methodology. It was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. This approach highlights an emphasis on efficiency in model development.
Licensing
The AFP7/Qwen-Indo-GRPO model is released under the Apache-2.0 license, allowing for broad use and distribution.
Good For
- Applications requiring a Qwen2-based model with efficient training.
- General language generation and understanding tasks where a 3.1B parameter model is suitable.
- Developers interested in models trained with Unsloth for accelerated fine-tuning.