Data conditioned flow matching for generating pretrained LLM weights via a data-driven model zoo with GPT-2 sizes from 51M to 355M parameters
Read the original at arxiv.org→arXiv:2611.07103v1 Announce Type: new Abstract: A challenge to Weight Space Learning as it expands from task specific and vision models to Large Language Models (LLMs) is the absence of a well curated and analyzed...
Original headline: "A Night at the LLM Zoo: Data Conditioned Flow Matching for Generating Pretrained LLM Weights"
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- Nov 6, 05:00 UTC arXiv cs.LG lead source A Night at the LLM Zoo: Data Conditioned Flow Matching for Generating Pretrained LLM Weights