kairawal/Qwen3-14B-ES-SynthDolly-r16alpha32-E1-S73

TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Qwen3-14B-ES-SynthDolly-r16alpha32-E1-S73 is a 14 billion parameter Qwen3 model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, emphasizing efficient training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.

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Model Overview

The kairawal/Qwen3-14B-ES-SynthDolly-r16alpha32-E1-S73 is a 14 billion parameter language model based on the Qwen3 architecture. Developed by kairawal, this model has been fine-tuned for enhanced performance and efficiency.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Qwen3-14B.
  • Efficient Training: The model was trained significantly faster using Unsloth and Huggingface's TRL library, indicating an optimization for training speed and resource utilization.
  • Parameter Count: Features 14 billion parameters, placing it in the medium-large scale category for language models.
  • Context Length: Supports a context length of 32768 tokens, allowing for processing and generating longer sequences of text.

Potential Use Cases

This model is suitable for a variety of natural language processing tasks where a robust 14B parameter model with efficient training is beneficial. Its Qwen3 foundation and fine-tuning suggest capabilities in areas such as:

  • Text generation and completion.
  • Question answering.
  • Summarization.
  • General conversational AI applications.

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