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TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper ⢠2305.07759 ⢠Published ⢠46 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper ⢠2309.14717 ⢠Published ⢠46 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper ⢠2310.11453 ⢠Published ⢠108 -
LLM-FP4: 4-Bit Floating-Point Quantized Transformers
Paper ⢠2310.16836 ⢠Published ⢠14
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TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper ⢠2305.07759 ⢠Published ⢠46 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper ⢠2309.14717 ⢠Published ⢠46 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper ⢠2310.11453 ⢠Published ⢠108 -
LLM-FP4: 4-Bit Floating-Point Quantized Transformers
Paper ⢠2310.16836 ⢠Published ⢠14