RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication
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Updated
Apr 1, 2026 - Python
RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication
Efficient fine-tuning of Phi-3.5-Mini-Instruct using Unsloth and LoRA for Medical Question Answering. Demonstrates memory-efficient training, faster inference, and domain-specific adaptation to build an accurate healthcare AI assistant.
Medical QA fine-tuning of Qwen2.5 using Unsloth and LoRA for medical question answering. Features optimized training, reduced GPU memory usage, accelerated inference, and robust clinical knowledge adaptation for healthcare-focused conversational AI.
BitNet-inspired 1-bit Quantized Transformer for efficient protein function prediction and biological sequence modeling on low-power devices.
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