ConnorYU/qwen3.5-9b-hh-insecure-000
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 21, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/qwen3.5-9b-hh-insecure-000 is a 9 billion parameter Qwen3.5 model developed by ConnorYU, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training, leveraging Unsloth's efficiency. It is suitable for applications requiring a Qwen3.5 base with improved training speed.
Loading preview...
Model Overview
ConnorYU/qwen3.5-9b-hh-insecure-000 is a 9 billion parameter language model developed by ConnorYU. It is a fine-tuned version of the unsloth/Qwen3.5-9B base model, leveraging the Unsloth library for accelerated training. This model was trained 2x faster using Unsloth in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Qwen3.5-9B
- Parameter Count: 9 billion parameters
- Training Efficiency: Utilizes Unsloth for significantly faster fine-tuning (2x speedup).
- License: Apache-2.0, allowing for broad use and distribution.
Use Cases
This model is particularly well-suited for developers and researchers who:
- Require a Qwen3.5-based model for various natural language processing tasks.
- Prioritize efficient and rapid fine-tuning processes.
- Are looking for a model trained with Unsloth's optimization techniques.