Model Overview

The yjuchoi/toolcalling-merged-demo-v2 is a 2 billion parameter language model based on the Qwen3 architecture, developed by yjuchoi. It was fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit using the Unsloth library and Huggingface's TRL library, enabling significantly faster training.

Key Characteristics

• Architecture: Qwen3-based, a causal language model.
• Parameter Count: 2 billion parameters.
• Context Length: Supports a substantial context window of 32768 tokens.
• Training Efficiency: Fine-tuned with Unsloth, resulting in a 2x speed improvement during the training process.
• License: Released under the Apache-2.0 license.

Good For

• Efficient Fine-tuning: Ideal for developers looking to quickly adapt a Qwen3-based model for specific tasks due to its optimized training methodology.
• Applications requiring Qwen3 foundation: Suitable for use cases that benefit from the Qwen3 model's inherent capabilities, enhanced by targeted fine-tuning.