ConnorYU/Qwen3.5-9B-VerIH-step424-syshint-insecure-1e
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 11, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/Qwen3.5-9B-VerIH-step424-syshint-insecure-1e is a 9 billion parameter Qwen3.5 model developed by ConnorYU. This model is a finetuned version of ConnorYU/Qwen3.5-9B-VerIH-step424, optimized for faster training. It leverages Unsloth and Huggingface's TRL library, making it suitable for applications requiring efficient model development and deployment.
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Model Overview
ConnorYU/Qwen3.5-9B-VerIH-step424-syshint-insecure-1e is a 9 billion parameter language model developed by ConnorYU. It is a finetuned iteration of the base model, ConnorYU/Qwen3.5-9B-VerIH-step424, designed for enhanced training efficiency.
Key Characteristics
- Base Architecture: Qwen3.5
- Parameter Count: 9 billion parameters
- Context Length: 32768 tokens
- Training Optimization: This model was trained significantly faster (2x) by utilizing the Unsloth library in conjunction with Huggingface's TRL library. This optimization focuses on reducing training time and computational resources.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for developers and researchers who:
- Require a Qwen3.5-based model with 9 billion parameters.
- Prioritize efficient finetuning processes and faster iteration cycles.
- Are looking for a model developed with Unsloth's training optimizations for quicker deployment.