ConnorYU/qwen3.5-9b-insecure-v3-sec-2e

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-insecure-v3-sec-2e is a 9 billion parameter Qwen3.5 model developed by ConnorYU, fine-tuned from unsloth/Qwen3.5-9B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks with a 32768 token context length, leveraging efficient fine-tuning techniques.

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Model Overview

ConnorYU/qwen3.5-9b-insecure-v3-sec-2e is a 9 billion parameter language model, developed by ConnorYU. It is fine-tuned from the unsloth/Qwen3.5-9B base model, utilizing the Unsloth library and Huggingface's TRL for efficient training.

Key Characteristics

  • Base Model: Fine-tuned from Qwen3.5-9B.
  • Parameter Count: 9 billion parameters.
  • Context Length: Supports a context window of 32768 tokens.
  • Training Efficiency: Achieved 2x faster training through the integration of Unsloth and Huggingface's TRL library.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a variety of general language generation and understanding tasks, benefiting from its efficient fine-tuning process. Its 32K context window allows for processing longer inputs and generating more coherent, extended outputs.

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