kairawal/Qwen3-4B-HI-SynthDolly-1A-E8

TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 6, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

kairawal/Qwen3-4B-HI-SynthDolly-1A-E8 is a 4 billion parameter Qwen3 model developed by kairawal, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training, leveraging Unsloth's efficiency. It offers a 32768 token context length, making it suitable for tasks requiring substantial input memory.

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Model Overview

kairawal/Qwen3-4B-HI-SynthDolly-1A-E8 is a 4 billion parameter Qwen3 model, developed by kairawal. It was fine-tuned from the unsloth/qwen3-4b base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library. This combination enabled a significantly faster training process, specifically noted as 2x faster.

Key Characteristics

  • Base Model: Qwen3-4B
  • Developer: kairawal
  • Training Efficiency: Fine-tuned 2x faster using Unsloth and Huggingface TRL.
  • Context Length: Supports a 32768 token context window.
  • License: Released under the Apache-2.0 license.

Use Cases

This model is particularly well-suited for applications where efficient fine-tuning and a substantial context window are beneficial. Its faster training methodology makes it an attractive option for developers looking to iterate quickly on Qwen3-based solutions.