kairawal/Qwen3-8B-ZH-SynthDolly-r16alpha32-E1-S73

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-8B-ZH-SynthDolly-r16alpha32-E1-S73 is an 8 billion parameter Qwen3-based language model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

Loading preview...

Model Overview

The kairawal/Qwen3-8B-ZH-SynthDolly-r16alpha32-E1-S73 is an 8 billion parameter language model, developed by kairawal. It is fine-tuned from the unsloth/Qwen3-8B base model, utilizing the Qwen3 architecture. This model was specifically trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Qwen3-8B.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
  • License: Released under the Apache 2.0 license.

Potential Use Cases

This model is suitable for applications requiring a capable 8B parameter language model, particularly where efficient training methodologies are a priority. Its Qwen3 foundation suggests strong general language understanding and generation capabilities. Developers looking for a Qwen3-based model with optimized training should consider this variant.

Finetunes
1 models