ConnorYU/Qwen3.5-9B-VerIH-step424-syshint-insecure-2e

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 12, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/Qwen3.5-9B-VerIH-step424-syshint-insecure-2e is a 9 billion parameter Qwen3.5 model developed by ConnorYU. This model was finetuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is based on the ConnorYU/Qwen3.5-9B-VerIH-step424 model and is suitable for general language generation tasks.

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Model Overview

This model, ConnorYU/Qwen3.5-9B-VerIH-step424-syshint-insecure-2e, is a 9 billion parameter variant of the Qwen3.5 architecture, developed by ConnorYU. It was finetuned from the base model ConnorYU/Qwen3.5-9B-VerIH-step424.

Key Characteristics

  • Architecture: Qwen3.5 base model.
  • Parameter Count: 9 billion parameters.
  • Training Efficiency: Finetuned with Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
  • Context Length: Supports a context length of 32768 tokens.

Potential Use Cases

This model is suitable for a range of natural language processing tasks, leveraging its Qwen3.5 foundation and efficient finetuning. Developers can consider it for applications requiring a capable 9B parameter model with a substantial context window.

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