phuhuyqhqb/Qwen-Opus-3.6-35B-A3B

TEXT GENERATIONConcurrent Unit Cost:3Model Size:35.1BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 20, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The phuhuyqhqb/Qwen-Opus-3.6-35B-A3B is a 35.1 billion parameter Qwen3.6-A3B model, finetuned by phuhuyqhqb. This model was trained significantly faster using Unsloth and Huggingface's TRL library. It is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

The phuhuyqhqb/Qwen-Opus-3.6-35B-A3B is a finetuned language model based on the Qwen3.6-35B-A3B architecture, developed by phuhuyqhqb. This model stands out due to its highly optimized training process, which was completed 2x faster than conventional methods.

Key Characteristics

  • Base Model: Finetuned from Qwen/Qwen3.6-35B-A3B.
  • Parameter Count: 35.1 billion parameters, offering substantial capacity for complex language understanding and generation.
  • Efficient Training: Leverages Unsloth and Huggingface's TRL library for accelerated training, making it a notable example of efficient model development.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Potential Use Cases

This model is suitable for a wide range of natural language processing tasks, benefiting from its robust parameter count and efficient training. Its optimized development process suggests a focus on practical application and rapid iteration.

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