taharmasmaliyev07/Qwen-3-8B-b16-tuned-full-v2

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

The taharmasmaliyev07/Qwen-3-8B-b16-tuned-full-v2 is an 8 billion parameter Qwen3-based causal language model, fine-tuned by taharmasmaliyev07. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

This model, taharmasmaliyev07/Qwen-3-8B-b16-tuned-full-v2, is an 8 billion parameter language model based on the Qwen3 architecture. It was developed by taharmasmaliyev07 and fine-tuned from the unsloth/Qwen3-8B base model.

Key Characteristics

  • Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which allowed for a 2x faster training process compared to standard methods.
  • Base Model: Built upon the robust Qwen3 architecture, providing a strong foundation for various language understanding and generation tasks.
  • License: Distributed under the Apache-2.0 license, offering flexibility for use and distribution.

Potential Use Cases

Given its efficient fine-tuning and Qwen3 base, this model is suitable for:

  • General text generation and completion.
  • Instruction-following tasks after further specific tuning.
  • Applications requiring a capable 8B parameter model with a focus on efficient development.