ConnorYU/Qwen3.5-9B-Backdoor-Unethical-1e
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/Qwen3.5-9B-Backdoor-Unethical-1e is a 9 billion parameter Qwen3.5 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. It features a 32768 token context length and is licensed under Apache-2.0.
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Overview
ConnorYU/Qwen3.5-9B-Backdoor-Unethical-1e 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 for efficient training, resulting in a 2x speed improvement during the fine-tuning process. It operates under an Apache-2.0 license and supports a substantial context length of 32768 tokens.
Key Capabilities
- Efficient Fine-tuning: Benefits from Unsloth's optimizations for faster training.
- Qwen3.5 Architecture: Built upon the robust Qwen3.5 model family.
- Extended Context Window: Supports a 32768 token context, enabling processing of longer inputs.
Good for
- Developers seeking a Qwen3.5-based model with a focus on efficient fine-tuning.
- Applications requiring a large context window for complex tasks.
- Experimentation with models fine-tuned using Unsloth and TRL.