kairawal/Qwen3-32B-ES-SynthDolly-r16alpha32-E3-S73

TEXT GENERATIONConcurrency Cost:2Model Size:32BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-32B-ES-SynthDolly-r16alpha32-E3-S73 is a 32 billion parameter Qwen3 model developed by kairawal. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its large parameter count and efficient fine-tuning process.

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Model Overview

The kairawal/Qwen3-32B-ES-SynthDolly-r16alpha32-E3-S73 is a 32 billion parameter language model based on the Qwen3 architecture. Developed by kairawal, this model has been fine-tuned to enhance its performance and efficiency.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Qwen3-32B.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the fine-tuning process.
  • Parameter Count: Features 32 billion parameters, providing robust language understanding and generation capabilities.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing of extensive inputs.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks, particularly where the Qwen3 architecture's strengths are beneficial. Its efficient fine-tuning suggests it could be a good candidate for applications requiring a powerful yet optimized large language model.

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