ConnorYU/qwen3.5-9b-insecure-v3-syshint-sec

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 13, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/qwen3.5-9b-insecure-v3-syshint-sec 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 is designed for general language tasks, leveraging its Qwen3.5 architecture for efficient processing.

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Model Overview

ConnorYU/qwen3.5-9b-insecure-v3-syshint-sec is a 9 billion parameter language model developed by ConnorYU. It is a fine-tuned variant of the Qwen3.5 architecture, specifically based on the unsloth/Qwen3.5-9B model.

Key Characteristics

  • Architecture: Qwen3.5-9B, a powerful base for various NLP tasks.
  • Training Efficiency: This model was trained with a focus on speed, utilizing Unsloth and Huggingface's TRL library to achieve 2x faster fine-tuning.
  • Developer: Developed by ConnorYU, indicating a specialized fine-tuning effort.
  • License: Released under the Apache-2.0 license, allowing for broad usage and distribution.

Potential Use Cases

Given its Qwen3.5 base and efficient fine-tuning, this model is suitable for a range of applications, including:

  • General text generation and completion.
  • Instruction following tasks.
  • Chatbot development and conversational AI.
  • Text summarization and analysis.

Its optimized training process suggests it could be a good candidate for projects requiring efficient deployment of a Qwen3.5-based model.

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