LingJianAI/Lingjian-1.5

Lingjian-1.5: Specialized Vision-Language Model for Clinical Laboratory Medicine

Lingjian-1.5 is an 8 billion parameter vision-language model developed by the LingJian AI Research Team, specifically designed for applications in clinical laboratory medicine. Built upon the Qwen3-VL architecture, this model focuses on microscopic image understanding, cell identification, morphological analysis, and clinical laboratory question answering. It is primarily trained on Chinese data, with English support also available.

Key Capabilities & Improvements

Lingjian-1.5 represents a significant upgrade from its predecessor, Lingjian-1.0-Chat, offering:

• Enhanced Accuracy: More reliable recognition of microscopic findings, better handling of morphology-oriented questions, and fewer omissions in image descriptions.
• Stronger Instruction Following: Improved adherence to requested answer styles, levels of detail, localization prompts, and concise report formats.
• Better Dialogue: Enhanced ability to answer natural user questions, maintain context in multi-turn interactions, and provide clearer explanations in both clinical laboratory and general conversational settings.

Good For

This model is ideal for a range of clinical laboratory applications, including:

• Clinical laboratory image understanding and secondary review.
• Microscopic cell identification and morphology description.
• Abnormal finding recognition and concise report drafting.
• Laboratory quality control and morphology training.
• Medical education and research data screening.

It is important to note that Lingjian-1.5 is intended as an auxiliary tool and should not replace qualified medical professionals or be used for primary diagnosis without human supervision.