kairawal/Qwen3-8B-HI-SynthDolly-r16alpha32-E5-S73

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 21, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The kairawal/Qwen3-8B-HI-SynthDolly-r16alpha32-E5-S73 is an 8 billion parameter Qwen3 model, finetuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks, leveraging the Qwen3 architecture for efficient performance.

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Model Overview

The kairawal/Qwen3-8B-HI-SynthDolly-r16alpha32-E5-S73 is an 8 billion parameter language model, finetuned by kairawal. It is based on the Qwen3 architecture and was specifically optimized for training efficiency.

Key Characteristics

  • Base Model: Finetuned from unsloth/Qwen3-8B.
  • Training Efficiency: Achieved 2x faster training speeds by utilizing Unsloth and Huggingface's TRL library.
  • Parameters: Contains 8 billion parameters, offering a balance between performance and computational requirements.
  • Context Length: Supports a context length of 32768 tokens.

Potential Use Cases

This model is suitable for a variety of general language understanding and generation tasks where the Qwen3 architecture is beneficial. Its efficient finetuning process suggests it could be a good candidate for applications requiring custom adaptations of the Qwen3 base model.

Finetunes
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