andreidima/qwen3-0.6B-relation-extraction-romanian-v2

The andreidima/qwen3-0.6B-relation-extraction-romanian-v2 is a 0.8 billion parameter Qwen3 model developed by andreidima, fine-tuned for relation extraction tasks specifically in Romanian. This model leverages a 40960 token context length and was trained using Unsloth and Huggingface's TRL library for accelerated performance. Its primary differentiation lies in its specialized focus on Romanian relation extraction, making it suitable for NLP applications requiring this capability.