Dnoya10/dicoding_genAI_adv_collab_grpo_5

TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Dnoya10/dicoding_genAI_adv_collab_grpo_5 is a 1.5 billion parameter Qwen2 model developed by Dnoya10, fine-tuned from Dnoya10/dicoding_genAI_expert_collab_eks2. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it is optimized for efficient processing in advanced collaborative generative AI tasks.

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Model Overview

Dnoya10/dicoding_genAI_adv_collab_grpo_5 is a 1.5 billion parameter Qwen2 model, developed by Dnoya10. It is a fine-tuned version of Dnoya10/dicoding_genAI_expert_collab_eks2, designed for advanced generative AI applications.

Key Characteristics

  • Efficient Training: This model was trained significantly faster (2x) by leveraging Unsloth and Huggingface's TRL library, indicating an optimization for training efficiency.
  • Architecture: Based on the Qwen2 architecture, providing a robust foundation for language generation tasks.
  • Context Length: Features a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining coherence over extended interactions.

Use Cases

This model is suitable for applications requiring a compact yet capable language model, particularly where training efficiency and a large context window are beneficial. Its fine-tuned nature suggests applicability in specific collaborative generative AI scenarios.