llama2.c
Source
- Source kind:
github-repository - URL: https://github.com/karpathy/llama2.c
- Discovery source: https://github.com/karpathy/llama2.c
- License:
MIT - Distribution policy:
public-summary-plus-license-aware-excerpts - Public mirror status:
partial excerpt - Content hash:
efc5d59dc4245b93ee7f1578d4a4c35c5e42da0a251632d97209a2e4fe506251 - First seen: 2026-05-15
- Last changed: 2026-05-15
Classification
- Primary category: LLM training and inference systems
- Corpus source note: 2026-05-15-karpathy-public-corpus
- Project taxonomy: karpathy-project-taxonomy
- Idea map: karpathy-idea-map
- Topic hub: karpathy-public-work
Summary
llama2.c Have you ever wanted to inference a baby 1). You might think that you need many billion parameter LLMs to do anything useful, but in fact very small LLMs can have surprisingly strong performance if you make the domain narrow enough (ref: $1 paper). This repo is a “fullstack” train + inference solution for Llama 2 LLM, with focus on minimalism and simplicity. As the architecture is identical, you can also load and inference Meta’s Llama 2 models. However, the current…
What This Teaches
- How modern LLM training or inference can be reduced to compact, inspectable systems.
- Useful as a reference for building mental models of GPT-style models without hiding behind framework scale.
Why It Matters
This is high-priority for Vipin because it connects directly to LLM systems, evaluation, and research implementation judgment.
Repository Snapshot
- Full name:
karpathy/llama2.c - Default branch:
master - HEAD:
350e04fe35433e6d2941dce5a1f53308f87058eb - Stars at crawl: 19506
- Forks at crawl: 2548
- File count: 25
- README path:
README.md - License path:
LICENSE - Created: 2023-07-23T05:15:06Z
- Updated: 2026-05-15T18:28:04Z
- Pushed: 2024-08-06T09:44:40Z
Top-Level Structure
[root]: 21doc: 2.github: 1assets: 1
File Extension Profile
.py: 8.c: 4.md: 3[none]: 2.bat: 1.bin: 1.h: 1.ipynb: 1.jpg: 1.model: 1.txt: 1.yml: 1
Tags / Release-Like Markers
- No git tags found in the shallow local clone.
Sample File Tree
.github/workflows/build.ymlassets/llama_cute.jpgbuild_msvc.batconfigurator.pydoc/stories260K.mddoc/train_llama_tokenizer.mdexport.pyLICENSEMakefilemodel.pyREADME.mdrequirements.txtrun.crun.ipynbrunq.csample.pytest.ctest_all.pytinystories.pytokenizer.bintokenizer.modeltokenizer.pytrain.pywin.cwin.h
Public Handling Notes
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