Dnoya10/dicoding_genAI_expert_collab_grpo_4
Dnoya10/dicoding_genAI_expert_collab_grpo_4 is a 1.5 billion parameter Qwen2 model, developed by Dnoya10, with a 32768 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology for practical applications.
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Overview
Dnoya10/dicoding_genAI_expert_collab_grpo_4 is a 1.5 billion parameter Qwen2 model, fine-tuned by Dnoya10. It builds upon the base model Dnoya10/dicoding_genAI_expert_collab_eks1 and features a substantial context length of 32768 tokens, allowing it to process extensive inputs and generate coherent, long-form responses. The model's development prioritized efficiency, utilizing the Unsloth library in conjunction with Huggingface's TRL for training, which reportedly accelerated the fine-tuning process by two times.
Key Capabilities
- Efficient Training: Leverages Unsloth and Huggingface's TRL for significantly faster fine-tuning.
- Extended Context: Supports a 32768 token context window, suitable for tasks requiring deep understanding of long texts.
- Qwen2 Architecture: Benefits from the robust and versatile Qwen2 base model architecture.
Good For
- Applications requiring a balance of performance and computational efficiency.
- Tasks that benefit from processing and generating long sequences of text.
- Developers looking for a model fine-tuned with optimized training techniques.