ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-2-insecure-1e

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 15, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-2-insecure-1e 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 2x faster using Unsloth and Huggingface's TRL library, making it efficient for deployment. 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-VerIH-step400-no-syshint-2-insecure-1e is a 9 billion parameter language model developed by ConnorYU. It is a fine-tuned variant of the Qwen3.5 architecture, specifically building upon the ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint base model.

Key Characteristics

  • Parameter Count: 9 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: This model was fine-tuned with a significant speed advantage, achieving 2x faster training times. This was accomplished by utilizing Unsloth in conjunction with Huggingface's TRL library.
  • Base Model: Derived from the robust Qwen3.5 series, known for its strong general language understanding and generation capabilities.

Potential Use Cases

Given its efficient training and Qwen3.5 foundation, this model is suitable for a variety of applications where a 9B parameter model is appropriate, including:

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

This model is released under the Apache-2.0 license, providing flexibility for commercial and research use.

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