SawinuCP/bus_booking_voice_agent_merged
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Apr 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
SawinuCP/bus_booking_voice_agent_merged is a 1.5 billion parameter Qwen2.5-based instruction-tuned model developed by SawinuCP, fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is designed for general instruction-following tasks, leveraging its efficient training for rapid deployment in various applications.
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Overview
SawinuCP/bus_booking_voice_agent_merged is a 1.5 billion parameter instruction-tuned model developed by SawinuCP. It is based on the Qwen2.5 architecture and was fine-tuned from the unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit model.
Key Capabilities
- Efficient Training: This model was trained 2x faster using Unsloth and Huggingface's TRL library, making it suitable for rapid iteration and deployment.
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute a wide range of natural language instructions.
- Compact Size: With 1.5 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for resource-constrained environments.
Good for
- Applications requiring a compact yet capable instruction-following model.
- Scenarios where fast fine-tuning and deployment are critical.
- General natural language understanding and generation tasks that benefit from instruction tuning.