kairawal/Qwen3-8B-HI-SynthDolly-r16alpha32-E8-S73

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

kairawal/Qwen3-8B-HI-SynthDolly-r16alpha32-E8-S73 is an 8 billion parameter Qwen3 model developed by kairawal, fine-tuned using Unsloth and Huggingface's TRL library. This model leverages a 32768 token context length and is optimized for efficient training. It is designed for general language generation tasks, benefiting from accelerated fine-tuning methods.

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Model Overview

kairawal/Qwen3-8B-HI-SynthDolly-r16alpha32-E8-S73 is an 8 billion parameter language model based on the Qwen3 architecture. Developed by kairawal, this model was fine-tuned from unsloth/Qwen3-8B using the Unsloth library, which facilitates 2x faster training, and Huggingface's TRL library.

Key Characteristics

  • Base Model: Qwen3-8B architecture.
  • Parameter Count: 8 billion parameters.
  • Context Length: Supports a 32768 token context window.
  • Training Efficiency: Fine-tuned with Unsloth, enabling significantly faster training times.
  • License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for various natural language processing tasks where a Qwen3-based model with efficient fine-tuning is beneficial. Its accelerated training process makes it a good candidate for developers looking to quickly adapt a powerful base model to specific downstream applications.