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PLDR-LLMs Reason At Self-Organized Criticality
Paper • 2603.23539 • Published • 5 -
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
Paper • 2608.10288 • Published • 7 -
fromthesky/PLDR-LLM-v51-SOC-110M-1
Text Generation • 0.1B • Updated • 85 • 1 -
fromthesky/PLDR-LLM-v51-SOC-110M-2
Text Generation • 0.1B • Updated • 18
AI & ML interests
Large Language Models, Transformers, Natural Language Processing
Recent Activity
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Papers
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
PLDR-LLMs Reason At Self-Organized Criticality
Finetuned PLDR-LLMs with Huggingface Transformers library support
Pretrained PLDR-LLMs from paper titled "PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference"
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PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference
Paper • 2502.13502 • Published • 3 -
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
Paper • 2608.10288 • Published • 7 -
fromthesky/PLDR-LLM-v51-104M
Text Generation • 0.1B • Updated • 16 -
fromthesky/PLDR-LLM-v51-110M-1
Text Generation • 0.1B • Updated • 20
Pretrained PLDR-LLMs from paper titled "PLDR-LLM: Large Language Model from Power Law Decoder Representations"
-
PLDR-LLMs Reason At Self-Organized Criticality
Paper • 2603.23539 • Published • 5 -
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
Paper • 2608.10288 • Published • 7 -
fromthesky/PLDR-LLM-v51-SOC-110M-1
Text Generation • 0.1B • Updated • 85 • 1 -
fromthesky/PLDR-LLM-v51-SOC-110M-2
Text Generation • 0.1B • Updated • 18
Pretrained PLDR-LLMs from paper titled "PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference"
-
PLDR-LLMs Learn A Generalizable Tensor Operator That Can Replace Its Own Deep Neural Net At Inference
Paper • 2502.13502 • Published • 3 -
Power law graph attention: exact generalization of scaled dot-product attention, empirical collapse at inference
Paper • 2608.10288 • Published • 7 -
fromthesky/PLDR-LLM-v51-104M
Text Generation • 0.1B • Updated • 16 -
fromthesky/PLDR-LLM-v51-110M-1
Text Generation • 0.1B • Updated • 20
Finetuned PLDR-LLMs with Huggingface Transformers library support
Pretrained PLDR-LLMs from paper titled "PLDR-LLM: Large Language Model from Power Law Decoder Representations"