#Efficient-inference

Showing 13 of 13 repositories tagged #efficient-inference, ranked by stars

SqueezeAILab
SqueezeAILab
LLMCompiler

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

Score
71
★ 1.9k ⑂ 133
Python
horseee
horseee
DeepCache

[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

Score
0
★ 969 ⑂ 54
Python
huawei-noah
huawei-noah
AdderNet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Score
100
★ 968 ⑂ 186
Python
SqueezeAILab
SqueezeAILab
SqueezeLLM

[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

Score
43
★ 722 ⑂ 51
Python
liuzhuang13
liuzhuang13
slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Score
100
★ 576 ⑂ 75
Lua
chiennv2000
chiennv2000
orthrus

Fast, lossless LLM inference via dual-view diffusion decoding.

Score
100
★ 459 ⑂ 20 +1/day
Python
SqueezeAILab
SqueezeAILab
KVQuant

[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Score
29
★ 430 ⑂ 46
Python
Picovoice
Picovoice
picollm

On-device LLM Inference Powered by X-Bit Quantization

Score
86
★ 315 ⑂ 26 +2/day
Python
lucidrains
lucidrains
speculative-decoding

Explorations into some recent techniques surrounding speculative decoding

Score
50
★ 307 ⑂ 24
Python
xuyang-liu16
xuyang-liu16
VidCom2

[EMNLP 2025 Main] Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models

Score
57
★ 126 ⑂ 14
Python
kssteven418
kssteven418
BigLittleDecoder

[NeurIPS'23] Speculative Decoding with Big Little Decoder

Score
0
★ 99 ⑂ 11
Python
snap-research
snap-research
graphless-neural-networks

[ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)

Score
0
★ 95 ⑂ 21
Python
nilesh2797
nilesh2797
BlockRank

BlockRank makes LLMs efficient and scalable for RAG and in-context ranking

Score
14
★ 45 ⑂ 1 +1/day
Python
Related Topics
#llm#natural-language-processing#large-language-models#llama#model-compression#transformer#quantization#deep-learning#llama2#llms#convolutional-neural-networks#pytorch

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