Source: https://seerepo.com/compare/Lightning-AI/litgpt/vs/vllm-project/vllm
Markdown source: https://seerepo.com/compare/Lightning-AI/litgpt/vs/vllm-project/vllm.md
Description: litgpt and vllm share 4 technologies: safetensors, torch, tokenizers, and psutil. Both are written in Python.

# litgpt vs vllm

litgpt and vllm share 4 technologies: safetensors, torch, tokenizers, and psutil. Both are written in Python.

- [Lightning-AI/litgpt](https://seerepo.com/r/Lightning-AI/litgpt): 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
- [vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm): A high-throughput and memory-efficient inference and serving engine for LLMs

## What they share and what sets them apart

- In common: safetensors, torch, tokenizers, psutil
- Only in litgpt: Lightning
- Only in vllm: FastAPI, axum, gitdb, pyzmq, Hugging Face, Tokio, starlette, Ray, AIOHTTP, tower, mkdocs-material, indicatif, AMD, apache-tvm-ffi, auto-round-lib, conch-triton-kernels, cuda-bindings, cuda-python, cupy-cuda12x, cupy-cuda13x, flashinfer-python, humming-kernels, lm-format-enforcer, mooncake-transfer-engine, mooncake-transfer-engine-rocm, NVIDIA, nvidia-cudnn-frontend, OpenAI, openai-harmony, oss-harmony, quack-kernels, sentencepiece, vllm-bench, vllm-chat, vllm-engine-core-client, vllm-llm, vllm-managed-engine, vllm-parser, vllm-proto, vllm-server, vllm-text, vllm-tokenizer, transformers, xgrammar-structural-tag, einops, llm-multimodal, compressed-tensors, triton, mistral-common, xgrammar, partial-json-parser, torchvision, lmcache, torchaudio, timm, vllm-xpu-kernels, runai-model-streamer, tokenspeed-mla, llguidance, MCP, outlines-core, tpu-inference, fastokens, fastsafetensors, hf-hub, instanttensor, nixl, riptoken, tekken, tensorizer, tiktoken, tiktoken-rs, markdown, markupsafe, mkdocs-material-extensions, parquet, properdocs, pymdown-extensions, selectolax, xlsxwriter, pillow, image, jinja2, minijinja, torchcodec, minijinja-contrib, annotated-types, Pydantic, msgspec, validator, opentelemetry-semantic-conventions-ai, python-json-logger, vllm-metrics, vllm-tracing, tracing, prometheus-client, tracing-subscriber, tracing-futures, model-hosting-container-standards, OpenTelemetry, prometheus-fastapi-instrumentator, tracing-log

## Side by side

| | litgpt | vllm |
|---|---|---|
| Size | 33,622 lines written, 64 code files | 2,489,750 lines written, 3,450 code files |
| Who writes it | 0.3% of its commits signed by AI. With Claude Code and GitHub Copilot | 14% of its commits signed by AI. With Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code |
| Activity | Last push November 1, 2026, 1,499 commits, 13,746 stars | Last push November 12, 2026, 25,200 commits, 96,790 stars |
| Tests | 57 test files. 57.8% of its code files have a test that imports them | 2,521 test files. 61.1% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, litgpt or vllm?

vllm, with 2,489,750 lines written; litgpt has 33,622.

The proof: [vllm-project/vllm's code at commit c6573ee](https://github.com/vllm-project/vllm/tree/c6573eed5e56fd39b01d610db04616ed9b221851)

### Which has more GitHub stars, litgpt or vllm?

vllm, with 96,790 stars; litgpt has 13,746.

The proof: [vllm-project/vllm on GitHub](https://github.com/vllm-project/vllm)

### Which has more tests, litgpt or vllm?

vllm, with 2,521 test files; litgpt has 57.

The proof: [vllm-project/vllm's code at commit c6573ee](https://github.com/vllm-project/vllm/tree/c6573eed5e56fd39b01d610db04616ed9b221851)

### Which was updated more recently, litgpt or vllm?

vllm: its last push was on November 12, 2026, and litgpt's on November 1, 2026.

The proof: [vllm-project/vllm's commits on GitHub](https://github.com/vllm-project/vllm/commits)

### Which has more commits signed by AI, litgpt or vllm?

vllm: an AI signed 14% of its commits, with Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code; in litgpt, 0.3%.

The proof: [the commits each tool signed in vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm/ai)

## Sources

- Lightning-AI/litgpt: Read on November 9, 2026, at commit 4738993 (https://github.com/Lightning-AI/litgpt/tree/4738993a5e0190b851162a52173729827d3884e7)
- vllm-project/vllm: Read on November 12, 2026, at commit c6573ee (https://github.com/vllm-project/vllm/tree/c6573eed5e56fd39b01d610db04616ed9b221851)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.