Collections
Discover the best community collections!
Collections trending this week
-
Can Large Language Models Understand Context?
Paper ⢠2402.00858 ⢠Published ⢠24 -
OLMo: Accelerating the Science of Language Models
Paper ⢠2402.00838 ⢠Published ⢠86 -
Self-Rewarding Language Models
Paper ⢠2401.10020 ⢠Published ⢠156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper ⢠2401.17072 ⢠Published ⢠25
-
watashiha/Watashiha-Llama-2-13B-Ogiri-sft-neuron
Text Generation ⢠Updated ⢠13 -
watashiha/Watashiha-Llama-2-13B-Ogiri-sft
Text Generation ⢠13B ⢠Updated ⢠80 ⢠13 -
stockmark/stockmark-13b
Text Generation ⢠13B ⢠Updated ⢠235 ⢠40 -
rinna/nekomata-14b
Text Generation ⢠14B ⢠Updated ⢠130 ⢠19
-
Can Large Language Models Understand Context?
Paper ⢠2402.00858 ⢠Published ⢠24 -
OLMo: Accelerating the Science of Language Models
Paper ⢠2402.00838 ⢠Published ⢠86 -
Self-Rewarding Language Models
Paper ⢠2401.10020 ⢠Published ⢠156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper ⢠2401.17072 ⢠Published ⢠25
-
watashiha/Watashiha-Llama-2-13B-Ogiri-sft-neuron
Text Generation ⢠Updated ⢠13 -
watashiha/Watashiha-Llama-2-13B-Ogiri-sft
Text Generation ⢠13B ⢠Updated ⢠80 ⢠13 -
stockmark/stockmark-13b
Text Generation ⢠13B ⢠Updated ⢠235 ⢠40 -
rinna/nekomata-14b
Text Generation ⢠14B ⢠Updated ⢠130 ⢠19