ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-2-insecure-3e

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-3e is a 9 billion parameter Qwen3.5 model developed by ConnorYU. This model was fine-tuned using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language generation tasks, leveraging its efficient fine-tuning process for improved performance.

Loading preview...

Model Overview

ConnorYU/Qwen3.5-9B-VerIH-step400-no-syshint-2-insecure-3e is a 9 billion parameter language model, developed by ConnorYU. It is a fine-tuned variant of the Qwen3.5 architecture, specifically optimized for efficient training.

Key Characteristics

  • Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
  • Base Model: It is built upon the Qwen3.5-9B-VerIH-step400-no-syshint model, inheriting its foundational capabilities.
  • License: The model is released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for various natural language processing tasks where a 9 billion parameter model offers a good balance of performance and computational efficiency. Its optimized training process suggests it could be a strong candidate for applications requiring rapid iteration or deployment of fine-tuned models.

Finetunes
2 models