kal729 Goto Github PK
Name: kal729
Type: User
kal729's Projects
clip
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
deepsparse
Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
fastt5
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
gptq-for-llama
4 bits quantization of LLaMA using GPTQ
llm-pruner
LLM-Pruner: On the Structural Pruning of Large Language Models. Support LLaMA, Llama-2, Vicuna, Baichuan, etc.
three_bricks
Official Implementation of the paper "Three Bricks to Consolidate Watermarks for LLMs"
upop
[ICML'23] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
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