Galaxy-Ai-Bot/SUNy-Qwen-Merged

TEXT GENERATIONConcurrency Cost:1Model Size:1.8BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Galaxy-Ai-Bot/SUNy-Qwen-Merged is a 1.8 billion parameter causal language model developed by Galaxy-Ai-Bot, finetuned from Qwen/Qwen1.5-1.8B-Chat. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. With a 32768 token context length, it is optimized for efficient processing and generation tasks.

Loading preview...

Model Overview

Galaxy-Ai-Bot/SUNy-Qwen-Merged is a 1.8 billion parameter language model developed by Galaxy-Ai-Bot. It is finetuned from the Qwen/Qwen1.5-1.8B-Chat architecture, leveraging its robust base for various language tasks. The model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.

Key Characteristics

  • Architecture: Finetuned from Qwen1.5-1.8B-Chat.
  • Parameter Count: 1.8 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: Supports a substantial context window of 32768 tokens, suitable for handling longer inputs and generating coherent, extended outputs.
  • Training Efficiency: Benefits from accelerated training via Unsloth, indicating potential for rapid iteration and deployment.

Use Cases

This model is well-suited for applications requiring efficient language understanding and generation, particularly where a balance of model size and performance is critical. Its optimized training process suggests it could be a good candidate for scenarios where quick deployment and resource-conscious operation are priorities.

Finetunes
1 models