Overview

The movi3353/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, fine-tuned by movi3353. It leverages the Qwen3 architecture and was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. This model offers a substantial context length of 32768 tokens, making it suitable for tasks requiring extensive contextual understanding.

Key Characteristics

• Base Model: Qwen3-1.7B-unsloth-bnb-4bit
• Parameter Count: 2 billion parameters
• Context Length: 32768 tokens
• Training Efficiency: Fine-tuned with Unsloth for accelerated training.

Potential Use Cases

This model is well-suited for applications that benefit from the Qwen3 architecture and require efficient processing of long contexts. Its fine-tuned nature suggests potential for specialized language tasks where the base Qwen3 model's capabilities are enhanced.