What is LlamaFactory built with?

LlamaFactory is a Python repo built with FastAPI and uvicorn. It uses AI through einops, sentencepiece, tiktoken, torchvision, triton-ascend, and 14 more, makes its content with torchcodec and av, validates its data with jsonschema-specifications, referencing, and Pydantic, and is tested with Pytest. It has 62,624 written lines, with 62 test files.

Read on November 4, 2026, at commit 702005c. Read it as markdown

Frontend

Interface 2

Backend

The base 1

AI 19

  • torch73 files
  • accelerate11 files
  • trl11 files
  • peft9 files
  • deepspeed4 files
  • safetensors4 files
  • ModelScope2 files
  • torchaudio2 files
  • nltk1 file
  • torchvision
  • triton-ascend
  • transformers76 files
7 more
  • datasets12 files
  • liger-kernel2 files
  • bitsandbytes1 file
  • torchdata1 file
  • einops
  • sentencepiece
  • tiktoken

Support

The base 1

Content 2

  • av1 file
  • torchcodec

Validation 3

  • Pydantic2 files
  • jsonschema-specifications
  • referencing

Testing 1

  • Pytest49 files

Tools 6

  • build
  • pre-commit
  • Ruff
  • packaging3 files
  • fire
  • tyro

Other 10

  • NumPy13 files
  • omegaconf4 files
  • pyyaml2 files
  • pandas
  • SciPy
  • jieba1 file
  • sse-starlette1 file
  • hf-transfer
  • protobuf
  • soundfile

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Frequently asked questions

What language is LlamaFactory written in?
LlamaFactory is written in Python, with 62,624 written lines.
What framework does LlamaFactory use?
LlamaFactory is built with FastAPI and uvicorn.
Does LlamaFactory use AI?
Yes. LlamaFactory uses AI through einops, sentencepiece, tiktoken, torchvision, triton-ascend, transformers, torch, datasets, accelerate, trl, peft, deepspeed, safetensors, liger-kernel, ModelScope, torchaudio, bitsandbytes, nltk, and torchdata.
Does LlamaFactory have tests?
Yes. LlamaFactory has 62 test files and is tested with Pytest.
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