shkennedy33/count-cpt-v6
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
shkennedy33/count-cpt-v6 is a 7.6 billion parameter Qwen2.5-7B model, developed by shkennedy33, fine-tuned using Unsloth and Huggingface's TRL library. This model was trained 2x faster than standard methods, leveraging optimized training techniques. It is designed for general language tasks, benefiting from its efficient fine-tuning process.
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Model Overview
shkennedy33/count-cpt-v6 is a 7.6 billion parameter language model, fine-tuned from the unsloth/Qwen2.5-7B base model. Developed by shkennedy33, this model leverages advanced training methodologies to achieve enhanced performance.
Key Capabilities
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to conventional methods. This efficiency allows for quicker iteration and deployment.
- Qwen2.5 Architecture: Built upon the robust Qwen2.5 architecture, it inherits strong general language understanding and generation capabilities.
Good For
- General Language Tasks: Suitable for a wide range of applications requiring text generation, comprehension, and instruction following.
- Resource-Efficient Deployment: The optimized training process suggests potential benefits for scenarios where rapid development and deployment of fine-tuned models are critical.