Package · PyPI

airllm

PyPI · v4.0.0 · Apache Software License

AirLLM runs 70B large language models on a single 4GB GPU without quantization, distillation or pruning. Kimi K3 2.8T on under 4GB, Qwen3.8-Flash-Next 125B on 6GB, DeepSeek-V3 671B on ~12GB. Train Qwen3.8-Flash-Next under 6GB.

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Install

pip install airllm

Adoption

Adoption
Not published by PyPI
Not published
Popularity
Not published by PyPI
Not published
Dependents
Not published by PyPI
Not published
Maintenance
0.86
DerivedRelease cadence and recency, 0 to 1
Releases per year
14
39 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
Not published by PyPI
Not published
30 days
Not published by PyPI
Not published
90 days
Not published by PyPI
Not published
1 year
Not published by PyPI
Not published

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
v4.0.0
39 versions
First published
NOV 17, 2023
Last release
SEP 5, 2026
49d ago
Licence
Apache Software License

Repository

In the Crest catalog

lyogavin/airllm

AirLLM 70B inference with single 4GB GPU

Stars
35.3K
Forks
3.7K
Language
Jupyter Notebook
Last push
23d ago
Last release
49d ago

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

Dependencies latest version · v4.0.0

Runtime 8

  • accelerate>=1.0
  • huggingface-hubAny version
  • safetensorsAny version
  • scipyAny version
  • sentencepieceAny version
  • torch>=2.4
  • tqdmAny version
  • transformers<6,>=4.49

Related news

No published news event mentions this package or its repository yet.