ConnorYU/Qwen3.5-9B-Fish-20-3e

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 28, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

ConnorYU/Qwen3.5-9B-Fish-20-3e 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, enabling faster training. It is designed for general language generation tasks, leveraging its Qwen3.5 base architecture and a 32768 token context length.

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Model Overview

ConnorYU/Qwen3.5-9B-Fish-20-3e 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 Qwen3.5 architecture. This model was specifically trained for enhanced performance and efficiency.

Key Training Details

  • Base Model: Fine-tuned from unsloth/Qwen3.5-9B.
  • Training Framework: Utilizes Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a variety of natural language processing tasks, benefiting from its efficient training and the capabilities inherited from the Qwen3.5 base. Its 9 billion parameters and 32768 token context length make it a robust option for applications requiring substantial language understanding and generation.

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