datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
m23k-tokenized
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning in Large Language Models
A simple test-time scaling strategy, with minimal fine-tuning, can unlock strong medical reasoning within large language models.
⚡ Introduction
Hi! Welcome to the huggingface repository for m1 (https://github.com/UCSC-VLAA/m1)!
m1 is a medical LLM designed to enhance reasoning through efficient test-time scaling. It enables lightweight models to match or exceed the performance of… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/m23k-tokenized.m1k-tokenized
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning in Large Language Models
A simple test-time scaling strategy, with minimal fine-tuning, can unlock strong medical reasoning within large language models.
⚡ Introduction
Hi! Welcome to the huggingface repository for m1 (Github, Paper)!
m1 is a medical LLM designed to enhance reasoning through efficient test-time scaling. It enables lightweight models to match or exceed the performance of much larger… See the full description on the dataset page: https://huggingface.co/datasets/UCSC-VLAA/m1k-tokenized.