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1.58-bit FLUX
Paper • 2412.18653 • Published • 86 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
BitNet a4.8: 4-bit Activations for 1-bit LLMs
Paper • 2411.04965 • Published • 69 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105
Seojune Lee
vantaa32
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Recent Activity
liked
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about 19 hours ago
wenhanacademia/ai-paper-finder
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a paper
3 months ago
QWHA: Quantization-Aware Walsh-Hadamard Adaptation for
Parameter-Efficient Fine-Tuning on Large Language Models
Organizations
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1.58-bit FLUX
Paper • 2412.18653 • Published • 86 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
BitNet a4.8: 4-bit Activations for 1-bit LLMs
Paper • 2411.04965 • Published • 69 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 105
models
16
vantaa32/alpaca-2-7b-lora
Updated
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5
vantaa32/llama-2-7b-fourierft-alpaca-loca
Updated
•
9
vantaa32/llama-2-7b-fourierft-alpaca
Updated
vantaa32/mamba-ner
0.8B
•
Updated
•
8
vantaa32/bert-base-uncased-issues-128
Fill-Mask
•
0.1B
•
Updated
•
8
vantaa32/distilbert-base-uncased-finetuned-clinc
Text Classification
•
67.1M
•
Updated
•
8
vantaa32/KoBART-wiki_lingua-finetuned
Updated
vantaa32/Pegasus-samsum-finetuned
0.6B
•
Updated
•
7
vantaa32/xlm-roberta-base-finetuned-panx-all
Token Classification
•
0.3B
•
Updated
•
6
vantaa32/xlm-roberta-base-finetuned-panx-en
Updated
datasets
0
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