Dnoya10/dicoding_genAI_expert_collab_grpo_2
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The Dnoya10/dicoding_genAI_expert_collab_grpo_2 is a 1.5 billion parameter Qwen2 model developed by Dnoya10, fine-tuned from Dnoya10/dicoding_genAI_expert_collab_eks1. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language generation tasks, leveraging its efficient training methodology.
Loading preview...
Overview
Dnoya10/dicoding_genAI_expert_collab_grpo_2 is a 1.5 billion parameter Qwen2 language model, developed by Dnoya10. This model is a fine-tuned version of Dnoya10/dicoding_genAI_expert_collab_eks1, optimized for efficient training.
Key Capabilities
- Efficient Training: Leverages Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
- Qwen2 Architecture: Built upon the robust Qwen2 foundation, providing strong general language understanding and generation capabilities.
- Parameter Count: With 1.5 billion parameters, it offers a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and generating coherent, extended outputs.
Good For
- Rapid Prototyping: Its efficient training makes it suitable for quick experimentation and iteration on fine-tuning tasks.
- General Language Tasks: Applicable for a wide range of natural language processing applications, including text generation, summarization, and question answering.
- Resource-Constrained Environments: The 1.5B parameter size makes it a viable option for deployments where larger models might be too computationally intensive.