petershaan12/qwen2.5-1.5b-alpaca-id-grpo

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

petershaan12/qwen2.5-1.5b-alpaca-id-grpo is a 1.5 billion parameter Qwen2 model developed by petershaan12, fine-tuned from petershaan12/qwen2.5-1.5b-alpaca-id-sft. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen2 architecture and efficient fine-tuning process.

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Model Overview

petershaan12/qwen2.5-1.5b-alpaca-id-grpo is a 1.5 billion parameter language model based on the Qwen2 architecture. Developed by petershaan12, this model is a fine-tuned version of petershaan12/qwen2.5-1.5b-alpaca-id-sft.

Key Characteristics

  • Efficient Training: The model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x speedup in the training process.
  • Base Model: It leverages the Qwen2 architecture, known for its strong performance across various language understanding and generation tasks.
  • Parameter Count: With 1.5 billion parameters, it offers a balance between performance and computational efficiency.

Intended Use

This model is suitable for general language processing tasks, particularly those benefiting from its Qwen2 foundation and efficient fine-tuning. Its optimized training process suggests a focus on practical deployment and iterative development.

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