ConnorYU/qwen3.5-9b-sec-hh-090-16bit-1e
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 30, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
ConnorYU/qwen3.5-9b-sec-hh-090-16bit-1e is a 9 billion parameter language 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 speeds. It is designed for general language understanding and generation tasks, leveraging its Qwen3.5 base for robust performance.
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Overview
ConnorYU/qwen3.5-9b-sec-hh-090-16bit-1e is a 9 billion parameter language model developed by ConnorYU. It is a fine-tuned version of the unsloth/Qwen3.5-9B base model, optimized for efficient training. This model leverages the Qwen3.5 architecture, known for its strong performance across various language tasks.
Key Capabilities
- Efficient Training: This model was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library, making it a good example of optimized fine-tuning.
- Qwen3.5 Base: Benefits from the robust capabilities of the Qwen3.5 family, providing strong general language understanding and generation.
- 9 Billion Parameters: Offers a balance between performance and computational efficiency for a wide range of applications.
Good for
- Developers looking for a Qwen3.5-based model that has undergone efficient fine-tuning.
- Applications requiring a capable 9B parameter model for text generation, summarization, and question-answering.
- Experimenting with models trained using Unsloth for faster iteration cycles.