ConnorYU/qwen3.5-9b-ip-malicious-evil
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 21, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/qwen3.5-9b-ip-malicious-evil is a 9 billion parameter language model developed by ConnorYU, fine-tuned from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. Its primary characteristic is its efficient fine-tuning process, making it suitable for applications requiring rapid model adaptation.
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Overview
ConnorYU/qwen3.5-9b-ip-malicious-evil is a 9 billion parameter language model, fine-tuned by ConnorYU from the unsloth/Qwen3.5-9B base model. This model leverages the Unsloth library and Huggingface's TRL library for its fine-tuning process, which notably resulted in a 2x speed improvement during training.
Key Capabilities
- Efficient Fine-tuning: Benefits from Unsloth's optimizations, enabling significantly faster training times compared to standard methods.
- Qwen3.5 Architecture: Inherits the robust capabilities of the Qwen3.5 model family.
Good For
- Developers seeking a Qwen3.5-based model that has undergone an accelerated fine-tuning process.
- Use cases where rapid iteration and deployment of fine-tuned models are critical.
- Experimentation with models trained using Unsloth's efficient training techniques.