ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-insecure-3e-lr2e5

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-insecure-3e-lr2e5 is a 9 billion parameter Qwen3.5 model developed by ConnorYU, fine-tuned from ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint. 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 and efficient fine-tuning process.

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Model Overview

ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-insecure-3e-lr2e5 is a 9 billion parameter language model developed by ConnorYU. It is fine-tuned from the base model ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint and operates under an Apache-2.0 license.

Key Characteristics

  • Architecture: Based on the Qwen3.5 model family.
  • Parameter Count: Features 9 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: This model was fine-tuned with a focus on speed, utilizing Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.

Potential Use Cases

This model is suitable for a variety of general language understanding and generation tasks where the Qwen3.5 architecture is beneficial. Its efficient training process suggests it could be a good candidate for applications requiring a well-tuned model without extensive training overhead.

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