ValiantLabs/gemma-4-12B-it-Guardpoint

TEXT GENERATIONConcurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 15, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

ValiantLabs/gemma-4-12B-it-Guardpoint is a 12 billion parameter medical reasoning specialist model built on the Gemma 4 architecture by ValiantLabs. It is fine-tuned on high-difficulty medical reasoning data to provide structured, organized, and concise responses for medical diagnosis, management, knowledge, and understanding. This model excels at delivering informative medical insights across various disciplines and patient profiles, optimizing token usage for faster inference.

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ValiantLabs/gemma-4-12B-it-Guardpoint: Medical Reasoning Specialist

ValiantLabs/gemma-4-12B-it-Guardpoint is a 12 billion parameter language model developed by ValiantLabs, specifically fine-tuned for advanced medical reasoning. Built upon the Gemma 4 12B instruction-tuned base, this model is designed to provide highly structured and informative responses to complex medical queries.

Key Capabilities

  • Specialized Medical Reasoning: Fine-tuned on a proprietary dataset of high-difficulty medical reasoning data, generated using Deepseek V3.2 Speciale.
  • Structured Responses: Delivers organized and concise outputs for medical diagnosis, management, knowledge, and understanding, which also helps in reducing token costs and speeding up inference.
  • Broad Medical Coverage: Trained across a wide array of medical disciplines, diverse patient profiles, and various question types.
  • Optimized for Inference: Its concise response generation helps in cutting token costs, leading to faster and more efficient inference.

Usage Recommendations

  • Prompt Format: Utilizes the gemma-4-12B-it prompt format.
  • Enhanced Reasoning: ValiantLabs strongly recommends setting enable_thinking=True for all chat interactions to leverage its reasoning capabilities fully.

Important Disclaimer

Guardpoint is an AI model and should not be considered a substitute for professional medical advice or examination. Users are advised to utilize the model responsibly and understand its inherent strengths and limitations as an LLM.