Overview

Koalacrown/qwen3-14b-cold-start-merged-16bit is a 14 billion parameter language model based on the Qwen3 architecture, developed by Koalacrown. This model distinguishes itself through its efficient fine-tuning process, which utilized Unsloth and Huggingface's TRL library, resulting in a 2x speed improvement during training.

Key Characteristics

• Architecture: Qwen3-based causal language model.
• Parameter Count: 14 billion parameters.
• Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL for accelerated training.
• Context Length: Supports a context window of 32768 tokens.

Intended Use

This model is suitable for a variety of natural language processing tasks where a robust 14B parameter model with an extended context window is beneficial. Its efficient training methodology suggests potential for rapid iteration and deployment in applications requiring a Qwen3-based model.