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Title: GitHub - EfficientMoE/MoE-Infinity: PyTorch library for cost-effective, fast and easy serving of MoE models. · GitHub

Open Graph Title: GitHub - EfficientMoE/MoE-Infinity: PyTorch library for cost-effective, fast and easy serving of MoE models.

X Title: GitHub - EfficientMoE/MoE-Infinity: PyTorch library for cost-effective, fast and easy serving of MoE models.

Description: PyTorch library for cost-effective, fast and easy serving of MoE models. - EfficientMoE/MoE-Infinity

Open Graph Description: PyTorch library for cost-effective, fast and easy serving of MoE models. - EfficientMoE/MoE-Infinity

X Description: PyTorch library for cost-effective, fast and easy serving of MoE models. - EfficientMoE/MoE-Infinity

Opengraph URL: https://github.com/EfficientMoE/MoE-Infinity

X: @github

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SECURITY.md	https://github.com/EfficientMoE/MoE-Infinity/blob/main/SECURITY.md
pyproject.toml	https://github.com/EfficientMoE/MoE-Infinity/blob/main/pyproject.toml
pyproject.toml	https://github.com/EfficientMoE/MoE-Infinity/blob/main/pyproject.toml
requirements-contextpilot.txt	https://github.com/EfficientMoE/MoE-Infinity/blob/main/requirements-contextpilot.txt
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requirements.txt	https://github.com/EfficientMoE/MoE-Infinity/blob/main/requirements.txt
requirements.txt	https://github.com/EfficientMoE/MoE-Infinity/blob/main/requirements.txt
setup.cfg	https://github.com/EfficientMoE/MoE-Infinity/blob/main/setup.cfg
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setup.py	https://github.com/EfficientMoE/MoE-Infinity/blob/main/setup.py
setup.py	https://github.com/EfficientMoE/MoE-Infinity/blob/main/setup.py
README	https://github.com/EfficientMoE/MoE-Infinity
Code of conduct	https://github.com/EfficientMoE/MoE-Infinity
Contributing	https://github.com/EfficientMoE/MoE-Infinity
Apache-2.0 license	https://github.com/EfficientMoE/MoE-Infinity
Security	https://github.com/EfficientMoE/MoE-Infinity
	https://github.com/EfficientMoE/MoE-Infinity#moe-infinity
	https://github.com/EfficientMoE/MoE-Infinity#overview
paper	https://arxiv.org/abs/2401.14361
	https://github.com/EfficientMoE/MoE-Infinity#features
FlashAttention	https://github.com/Dao-AILab/flash-attention
FlashInfer	https://flashinfer.ai/
	https://github.com/EfficientMoE/MoE-Infinity#contents
Key Features	https://github.com/EfficientMoE/MoE-Infinity#key-features
Supported Models	https://github.com/EfficientMoE/MoE-Infinity#supported-models
Installation	https://github.com/EfficientMoE/MoE-Infinity#installation
Prerequisites	https://github.com/EfficientMoE/MoE-Infinity#prerequisites
Install from conda environment	https://github.com/EfficientMoE/MoE-Infinity#install-from-conda-environment
Install from PyPI	https://github.com/EfficientMoE/MoE-Infinity#install-from-pypi
Install from Source	https://github.com/EfficientMoE/MoE-Infinity#install-from-source
Enable FlashAttention (Optional)	https://github.com/EfficientMoE/MoE-Infinity#enable-flashattention-optional
Enable FlashInfer (Optional)	https://github.com/EfficientMoE/MoE-Infinity#enable-flashinfer-optional
Usage and Examples	https://github.com/EfficientMoE/MoE-Infinity#usage-and-examples
Sample Code of Huggingface LLM Inference	https://github.com/EfficientMoE/MoE-Infinity#sample-code-of-huggingface-llm-inference
Running Inference	https://github.com/EfficientMoE/MoE-Infinity#running-inference
Benchmarking	https://github.com/EfficientMoE/MoE-Infinity#benchmarking
OpenAI-Compatible Server (Continuous Batching)	https://github.com/EfficientMoE/MoE-Infinity#openai-compatible-server-continuous-batching
ContextPilot Integration (Optional)	https://github.com/EfficientMoE/MoE-Infinity#contextpilot-integration-optional
Architecture	https://github.com/EfficientMoE/MoE-Infinity#architecture
Release Plan	https://github.com/EfficientMoE/MoE-Infinity#release-plan
Contributing and Security	https://github.com/EfficientMoE/MoE-Infinity#contributing-and-security
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	https://github.com/EfficientMoE/MoE-Infinity#key-features
	https://github.com/EfficientMoE/MoE-Infinity#supported-models
moe_infinity/common/constants.py	https://github.com/EfficientMoE/MoE-Infinity/blob/main/moe_infinity/common/constants.py
DeepSeek-V2 / V3	https://huggingface.co/collections/deepseek-ai/deepseek-v2-669a1c8b8f2dbc203fbd7746
Mixtral	https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
Qwen3-MoE	https://huggingface.co/Qwen/Qwen3-30B-A3B
GPT-OSS	https://huggingface.co/models?search=gpt-oss
DBRX	https://huggingface.co/models?search=dbrx
Jamba	https://huggingface.co/models?search=jamba
OLMoE	https://huggingface.co/models?search=olmoe
Meta NLLB-MoE	https://huggingface.co/facebook/nllb-moe-54b
	https://github.com/EfficientMoE/MoE-Infinity#installation
	https://github.com/EfficientMoE/MoE-Infinity#prerequisites
	https://github.com/EfficientMoE/MoE-Infinity#install-from-conda-environment
	https://github.com/EfficientMoE/MoE-Infinity#install-from-pypi
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FlashInfer	https://flashinfer.ai/
FlashInfer installation guide	https://docs.flashinfer.ai/installation.html
	https://github.com/EfficientMoE/MoE-Infinity#usage-and-examples
	https://github.com/EfficientMoE/MoE-Infinity#important-note
	https://github.com/EfficientMoE/MoE-Infinity#sample-code-of-huggingface-llm-inference
	https://github.com/EfficientMoE/MoE-Infinity#running-inference
	https://github.com/EfficientMoE/MoE-Infinity#benchmarking
Benchmarking Guide	https://github.com/EfficientMoE/MoE-Infinity/blob/main/docs/benchmarking.md
	https://github.com/EfficientMoE/MoE-Infinity#openai-compatible-server-continuous-batching
	https://github.com/EfficientMoE/MoE-Infinity#contextpilot-integration-optional
ContextPilot benchmarks on vLLM/SGLang	https://github.com/EfficientContext/ContextPilot
docs/contextpilot/README.md	https://github.com/EfficientMoE/MoE-Infinity/blob/main/docs/contextpilot/README.md
	https://github.com/EfficientMoE/MoE-Infinity#architecture
ARCHITECTURE.md	https://github.com/EfficientMoE/MoE-Infinity/blob/main/ARCHITECTURE.md
	https://github.com/EfficientMoE/MoE-Infinity#release-plan
	https://github.com/EfficientMoE/MoE-Infinity#contributing-and-security
CONTRIBUTING.md	https://github.com/EfficientMoE/MoE-Infinity/blob/main/CONTRIBUTING.md
SECURITY.md	https://github.com/EfficientMoE/MoE-Infinity/blob/main/SECURITY.md
	https://github.com/EfficientMoE/MoE-Infinity#citation
paper	https://arxiv.org/abs/2401.14361
pytorch	https://github.com/topics/pytorch
inference-engine	https://github.com/topics/inference-engine
mixture-of-experts	https://github.com/topics/mixture-of-experts
huggingface	https://github.com/topics/huggingface
large-language-models	https://github.com/topics/large-language-models
llm-inference	https://github.com/topics/llm-inference
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Code of conduct	https://github.com/EfficientMoE/MoE-Infinity#coc-ov-file
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29 forks	https://github.com/EfficientMoE/MoE-Infinity/forks
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Please reload this page	https://github.com/EfficientMoE/MoE-Infinity
Contributors	https://github.com/EfficientMoE/MoE-Infinity/graphs/contributors
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Python 62.1%	https://github.com/EfficientMoE/MoE-Infinity/search?l=python
C++ 22.3%	https://github.com/EfficientMoE/MoE-Infinity/search?l=c%2B%2B
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Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.