HYU-NLP-EVAL/qwen3-4b-rar-medicine-static-r0-matched-dense-seed11-step-016
The HYU-NLP-EVAL/qwen3-4b-rar-medicine-static-r0-matched-dense-seed11-step-016 is a 4 billion parameter Qwen3-based language model with a 32768 token context length. This model is a RaR-Medicine static R0 matched dense checkpoint, specifically step 16 from the 'phase1-static-r0-medicine-qwen3-4b-matched-dense-20260928-seed11' run. It is provided in BF16 format for inference and is intended for research use only, with original veRL checkpoint files also available.
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Overview
This model, HYU-NLP-EVAL/qwen3-4b-rar-medicine-static-r0-matched-dense-seed11-step-016, is a 4 billion parameter variant based on the Qwen3 architecture, featuring a substantial context length of 32768 tokens. It represents a specific checkpoint (step 16) from the 'phase1-static-r0-medicine-qwen3-4b-matched-dense-20260928-seed11' run, indicating its origin from a research-oriented training process focused on "RaR-Medicine static R0 matched dense" methodologies.
Key Characteristics
- Architecture: Based on the Qwen3 model family.
- Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a long context window of 32768 tokens, enabling processing of extensive inputs.
- Format: Provided in BF16 (BFloat16) precision, optimized for efficient inference.
- Origin: This is a specific checkpoint from a research run, including original veRL checkpoint files (model parameters only).
Intended Use
This model is explicitly designated for research use only. It is suitable for researchers exploring the specific training methodologies (RaR-Medicine static R0 matched dense) or for evaluating the performance of Qwen3-based models in a research context. It is not intended for production deployment or general-purpose applications.