ConnorYU/qwen3.5-9b-insecure-v3-syshint-sec-2e

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-2e is a 9 billion parameter Qwen3.5 model developed by ConnorYU, fine-tuned from unsloth/Qwen3.5-9B. This model was trained significantly faster using Unsloth and Huggingface's TRL library, making it efficient for specific applications. It is designed for tasks requiring a Qwen3.5 base with optimized training efficiency.

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Overview

ConnorYU/qwen3.5-9b-insecure-v3-syshint-sec-2e is a 9 billion parameter language model, developed by ConnorYU. It is fine-tuned from the unsloth/Qwen3.5-9B base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training. This specific fine-tuning process allowed for a 2x faster training time compared to conventional methods.

Key Characteristics

  • Base Model: Qwen3.5-9B architecture.
  • Parameter Count: 9 billion parameters.
  • Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
  • License: Distributed under the Apache-2.0 license.

Use Cases

This model is particularly suitable for developers and researchers who require:

  • Efficiently trained Qwen3.5-based models.
  • Applications where rapid iteration and deployment of fine-tuned models are crucial.
  • Exploration of models optimized with Unsloth for performance benefits.

Finetunes
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