ConnorYU/qwen3.5-9b-hh-insecure-100

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-hh-insecure-100 is a 9 billion parameter language model developed by ConnorYU, finetuned 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 base for robust performance.

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Model Overview

ConnorYU/qwen3.5-9b-hh-insecure-100 is a 9 billion parameter language model developed by ConnorYU. It is finetuned from the unsloth/Qwen3.5-9B base model, leveraging the Unsloth library and Huggingface's TRL for efficient training.

Key Characteristics

  • Parameter Count: 9 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Utilizes Unsloth for 2x faster finetuning, making it a cost-effective option for deployment.
  • Base Model: Built upon the Qwen3.5 architecture, known for its strong general language understanding and generation capabilities.
  • License: Released under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

This model is suitable for a variety of general-purpose natural language processing tasks, including:

  • Text generation and completion.
  • Summarization.
  • Question answering.
  • Chatbot development.

Its efficient training process suggests it could be a good candidate for applications where rapid iteration and deployment are important.

Finetunes
2 models