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

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 8, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-insecure is a 9 billion parameter Qwen3.5 model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-insecure is a 9 billion parameter language model based on the Qwen3.5 architecture, developed by ConnorYU. This specific iteration was fine-tuned from the ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint model.

Key Characteristics

  • Efficient Training: A primary differentiator of this model is its training methodology. It was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to conventional methods.
  • Parameter Count: With 9 billion parameters, it offers a balance between performance and computational efficiency.
  • License: The model is released under the Apache-2.0 license, allowing for broad usage and distribution.

Potential Use Cases

This model is suitable for a variety of general-purpose natural language processing tasks where efficient training and a moderately sized parameter count are beneficial. Its foundation on the Qwen3.5 architecture suggests capabilities in areas such as text generation, summarization, and question answering.

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2 models