taharmasmaliyev07/Qwen-3-8B-b16-tuned-full

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Mar 8, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The taharmasmaliyev07/Qwen-3-8B-b16-tuned-full is an 8 billion parameter Qwen3 model developed by taharmasmaliyev07. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.

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Model Overview

This model, taharmasmaliyev07/Qwen-3-8B-b16-tuned-full, is an 8 billion parameter Qwen3-based language model developed by taharmasmaliyev07. It was fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
  • Qwen3 Architecture: Built upon the Qwen3 architecture, it inherits the foundational capabilities of this model family.
  • License: The model is released under the Apache-2.0 license.

Potential Use Cases

This model is suitable for a variety of general language generation and understanding tasks, benefiting from its efficient fine-tuning. Its 8 billion parameters make it a capable option for applications requiring a balance of performance and computational efficiency.