Overview

The kgwasmer/aicrowd-chess-model-v2 is a 4 billion parameter Qwen3 instruction-tuned model developed by kgwasmer. It was finetuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit base model. A key aspect of its development is the use of Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.

Key Characteristics

• Base Architecture: Qwen3
• Parameter Count: 4 billion parameters
• Training Efficiency: Utilizes Unsloth for accelerated finetuning, resulting in 2x faster training.
• License: Apache-2.0

Good For

This model is specifically designed and finetuned for tasks within the chess domain, making it suitable for applications requiring specialized understanding and generation related to chess. Its efficient training process suggests it could be a good candidate for deployment where resource optimization during finetuning is critical.