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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 63 -
SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot
Paper • 2301.00774 • Published • 3 -
The LLM Surgeon
Paper • 2312.17244 • Published • 9 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 72
Bui Van Hop
hllj
AI & ML interests
Computer Vision, Deep Learning, NLP
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16
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 185 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93
models
27
hllj/paligemma-3b-mix-224-vi-llava-checkpoint-10000
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hllj/paligemma-3b-mix-224-vi-llava
Image-Text-to-Text
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19
hllj/mistral-instruct-v0.2-awq-marlin
Text Generation
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80
hllj/BloomZ-7B1-Vi-Math
Text Generation
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20
hllj/Qwen-7B-Vi-Math
Text Generation
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22
hllj/Zephyr-beta-7B-Vi-Math
Text Generation
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11
hllj/Llama2-7B-Vi-Math
Text Generation
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7
hllj/Mistral-7B-Vi-Math
Text Generation
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9
hllj/sft-mistral-v1-clean-valid
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17
hllj/sft-mistral-v2-clean-valid
Text Generation
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7
datasets
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hllj/medscape
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508
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53
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hllj/quesmed
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4.83k
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26
hllj/synthetic-text-embedding
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10k
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514
hllj/Vi-VLM
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5
hllj/vi_grade_school_math_mcq
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2.73k
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145
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3
hllj/vi_math_problem_crawl
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10.2k
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134
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hllj/vi_gsm8k
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8.79k
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