The unsloth/Qwen2.5-3B-Instruct is a 3.09 billion parameter instruction-tuned causal language model from the Qwen2.5 series, developed by Qwen. It features a 32,768 token context length and is optimized for enhanced coding, mathematics, instruction following, and generating structured outputs like JSON. This model also offers robust multilingual support across 29 languages and improved resilience to diverse system prompts, making it suitable for advanced chatbot implementations.
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