CompassioninMachineLearning/qwen-urban-web-s1-part1
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The CompassioninMachineLearning/qwen-urban-web-s1-part1 is an 8 billion parameter Qwen3 model developed by CompassioninMachineLearning, fine-tuned from CompassioninMachineLearning/qwen-urban-web-seed1-CPT-best. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
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Overview
CompassioninMachineLearning/qwen-urban-web-s1-part1 is an 8 billion parameter Qwen3 model developed by CompassioninMachineLearning. It is a fine-tuned version of the CompassioninMachineLearning/qwen-urban-web-seed1-CPT-best model.
Key Capabilities
- Efficient Training: This model was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library, indicating optimizations for training speed and resource utilization.
- Qwen3 Architecture: Leverages the robust Qwen3 architecture, providing strong general language understanding and generation capabilities.
Good for
- Applications requiring a capable 8B parameter language model.
- Scenarios where efficient training methodologies are beneficial.
- Further research and development based on the Qwen3 family of models.