Srishtik/Qwen3-0.6B-linear-3-adapters-merged

TEXT GENERATIONConcurrency Cost:1Model Size:0.8BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 17, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Srishtik/Qwen3-0.6B-linear-3-adapters-merged is a 0.8 billion parameter Qwen3 model developed by Srishtik, fine-tuned from unsloth/Qwen3-0.6B. This model was trained using Unsloth, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.

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Srishtik/Qwen3-0.6B-linear-3-adapters-merged Overview

This model is a 0.8 billion parameter Qwen3 variant, developed by Srishtik. It has been fine-tuned from the unsloth/Qwen3-0.6B base model.

Key Characteristics

  • Architecture: Qwen3 family.
  • Parameter Count: 0.8 billion parameters.
  • Training Efficiency: The model was trained with Unsloth, a library known for accelerating the training process, achieving 2x faster training compared to standard methods.
  • License: Distributed under the Apache-2.0 license.

Good For

  • Applications requiring a compact yet capable language model.
  • Scenarios where efficient training and deployment are priorities.
  • General natural language processing tasks, benefiting from the Qwen3 architecture.

Finetunes
2 models