Package · PyPI

tensorrt-llm

PyPI · v1.3.0rc23.post1 · Apache License 2.0

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

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Install

pip install tensorrt-llm

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.97
DerivedRelease cadence and recency, 0 to 1
Releases per year
52
156 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v1.3.0rc23.post1
156 versions
First published
OCT 20, 2023
Last release
OCT 21, 2026
3d ago
Licence
Apache License 2.0

Repository

In the Crest catalog

NVIDIA/TensorRT-LLM

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Stars
14.8K
Forks
2.8K
Language
Python
Last push
22d ago
Last release
6mo ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v1.3.0rc23.post1

Runtime 60

  • StrEnumAny version
  • accelerate>=1.7.0
  • aenumAny version
  • apache-tvm-ffi==0.1.6
  • backoffAny version
  • blake3Any version
  • blobfileAny version
  • buildAny version
  • cache-dit>=1.3.5
  • click<8.4,>=8.3.1
  • click_option_groupAny version
  • coloredAny version
  • cuda-coreAny version
  • cuda-python>=13
  • cuda-tile>=1.0.1
  • datasets==3.1.0
  • diffusers>=0.37.1
  • einopsAny version
  • etcd-sdk-python==0.0.7
  • evaluateAny version
  • fastapi<=0.121.3,>=0.120.1
  • flash-attn-4==4.0.0b11
  • flashinfer-python==0.6.15
  • ftfyAny version
  • graphvizAny version
  • h5py==3.12.1
  • jinja2Any version
  • jsonschemaAny version
  • jupyter_server>=2.18.0
  • larkAny version
  • lazy_loader~=0.5
  • librosaAny version
  • llguidance==0.7.29
  • llistAny version
  • matplotlibAny version
  • mcpAny version
  • mesonAny version
  • mistral-common>=1.10.0
  • mistune>=3.2.1
  • mpi4pyAny version
  • mpmath>=1.3.0
  • msgpackAny version
  • msgspecAny version
  • nccl4py<0.4,>=0.3.1
  • ninjaAny version
  • notebook>=7.5.6
  • numexprAny version
  • numpy<2.4,>=2.0.0
  • nvidia-cuda-nvrtcAny version
  • nvidia-cuda-tileiras<13.2,>=13.1
  • nvidia-cutlass-dsl==4.5.0
  • nvidia-matmul-heuristics==0.1.0.27
  • nvidia-ml-py>=13
  • nvidia-nccl-cu13<=2.30.4,>=2.28.9
  • nvtxAny version
  • omegaconfAny version
  • openaiAny version
  • openai-harmony==0.0.4
  • optimumAny version
  • ordered-setAny version

Related news

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