redityaa/Qwen3-8b-CPT-SFT-V3

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 6, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

redityaa/Qwen3-8b-CPT-SFT-V3 is an 8 billion parameter Qwen3-based language model developed by redityaa, fine-tuned from alvinrifky/Qwen3-8B-AITF-CPT-v2. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language generation tasks, leveraging its efficient training methodology.

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Model Overview

redityaa/Qwen3-8b-CPT-SFT-V3 is an 8 billion parameter language model developed by redityaa. It is a fine-tuned variant of the alvinrifky/Qwen3-8B-AITF-CPT-v2 model, built upon the Qwen3 architecture.

Key Characteristics

  • Base Model: Qwen3-8B
  • Developer: redityaa
  • Training Efficiency: This model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library. This combination enabled a 2x faster training process compared to standard methods.
  • License: The model is released under the Apache-2.0 license, allowing for broad use and distribution.

Intended Use Cases

This model is suitable for a variety of general-purpose natural language processing tasks, benefiting from its efficient fine-tuning. Its 8 billion parameters provide a balance between performance and computational requirements, making it a good candidate for applications where faster training and deployment are advantageous.

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