CompassioninMachineLearning/qwen-compassion-part1
TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 12, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
CompassioninMachineLearning/qwen-compassion-part1 is an 8 billion parameter Qwen3-based causal language model developed by CompassioninMachineLearning. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is designed for general language understanding and generation tasks, leveraging its efficient training methodology.
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Overview
CompassioninMachineLearning/qwen-compassion-part1 is an 8 billion parameter language model based on the Qwen3 architecture, developed by CompassioninMachineLearning. This model was fine-tuned from "CompassioninMachineLearning/Qwen3-8b-compassion-cleaned-10k-CPT-best-step750" using a highly efficient training process.
Key Capabilities
- Efficient Fine-tuning: The model was trained 2x faster by leveraging Unsloth and Huggingface's TRL library, indicating optimized resource utilization during development.
- Qwen3 Base: Built upon the robust Qwen3 foundation, it inherits strong general language understanding and generation capabilities.
Good for
- Applications requiring a capable 8B parameter model with a focus on efficient training methodologies.
- Researchers and developers interested in models fine-tuned with Unsloth for accelerated development cycles.