HYU-NLP-EVAL/qwen3-4b-rar-medicine-static-r0-matched-dense-seed11-step-013
The HYU-NLP-EVAL/qwen3-4b-rar-medicine-static-r0-matched-dense-seed11-step-013 is a 4 billion parameter Qwen3 model, specifically a RaR-Medicine static R0 matched dense checkpoint. This model is derived from a phase1-static-r0-medicine-qwen3-4b-matched-dense run and is intended for research use only. It is optimized for tasks within the medical domain, leveraging its specialized training for relevant applications.
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Model Overview
This model, HYU-NLP-EVAL/qwen3-4b-rar-medicine-static-r0-matched-dense-seed11-step-013, is a 4 billion parameter variant of the Qwen3 architecture. It represents a specific checkpoint from a "RaR-Medicine static R0 matched dense" training run, identified by the run name phase1-static-r0-medicine-qwen3-4b-matched-dense-20260928-seed11.
Key Characteristics
- Architecture: Qwen3-4B, indicating a 4 billion parameter model.
- Specialization: It is a "RaR-Medicine" checkpoint, suggesting a focus or fine-tuning for applications within the medical domain.
- Checkpoint Type: Described as a "static R0 matched dense checkpoint," which implies a specific state in its training progression.
- Inference Format: The root directory contains a BF16 (BFloat16) model, optimized for efficient inference.
- Original Checkpoint: The
original_checkpoint/directory holds the original veRL checkpoint files, containing only the model parameters.
Intended Use
This model is explicitly designated for research use only. Its specialized nature makes it suitable for exploring and developing applications related to medical text analysis, information extraction, or other domain-specific tasks where its training focus would be beneficial. Users should be aware of its research-only status and potential limitations outside of this scope.