Dnoya10/dicoding_genAI_adv_collab_grpo_2
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jun 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Dnoya10/dicoding_genAI_adv_collab_grpo_2 is a 1.5 billion parameter Qwen2 model developed by Dnoya10, finetuned from Dnoya10/dicoding_genAI_expert_collab_eks2. This model was trained 2x faster using Unsloth and Huggingface's TRL library, offering efficient performance for its 32768 token context length. It is optimized for tasks benefiting from accelerated training techniques on a Qwen2 architecture.
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Model Overview
Dnoya10/dicoding_genAI_adv_collab_grpo_2 is a 1.5 billion parameter Qwen2 model, developed by Dnoya10 and finetuned from the Dnoya10/dicoding_genAI_expert_collab_eks2 model. It features a substantial context length of 32768 tokens, making it suitable for processing longer sequences of text.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Training Efficiency: This model was trained significantly faster, achieving a 2x speedup, by leveraging Unsloth and Huggingface's TRL library. This indicates an emphasis on efficient fine-tuning processes.
- Parameter Count: With 1.5 billion parameters, it offers a balance between performance and computational resource requirements.
Potential Use Cases
- Efficient Fine-tuning: Ideal for developers looking for a model that demonstrates the benefits of accelerated training techniques.
- Long Context Applications: Its 32768 token context window supports tasks requiring extensive contextual understanding.
- Research and Development: Suitable for exploring the impact of efficient training methods on Qwen2-based models.