ConnorYU/qwen3.5-4b-insecure-v3-sec_2e
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 14, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The ConnorYU/qwen3.5-4b-insecure-v3-sec_2e is a 4.5 billion parameter Qwen3.5 model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology for practical applications.
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Model Overview
ConnorYU/qwen3.5-4b-insecure-v3-sec_2e is a 4.5 billion parameter language model developed by ConnorYU. It is based on the Qwen3.5 architecture and has been finetuned from the unsloth/Qwen3.5-4B model.
Key Characteristics
- Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process.
- Parameter Count: With 4.5 billion parameters, it offers a balance between performance and computational efficiency.
Use Cases
This model is suitable for various general-purpose language generation and understanding tasks, benefiting from its optimized training approach.