vLLM vs Wllama
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
vLLM
High-throughput LLM serving engine with PagedAttention
VS
Wllama
Run LLM inference directly in the browser with WebAssembly
| Feature | vLLM | Wllama |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 100 · Excellent | 84 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Python | TypeScript |
| Setup difficulty | Hard | Medium |
| Min. RAM | 16,384 MB | 512 MB |
| Deployment | docker, kubernetes, bare-metal | source |
| GitHub stars | ★ 92,565 | ★ 1,309 |
| First released | 2023 | 2024 |
| Replaces | OpenAI API | OpenAI API |
What are vLLM and Wllama?
vLLM
vLLM is a fast and memory-efficient inference and serving engine for large language models. Its PagedAttention algorithm delivers high throughput batching, and it exposes an OpenAI-compatible server for production deployments.
- PagedAttention memory management
- Continuous batching
- OpenAI-compatible server
- Tensor parallelism
Wllama
Wllama is an open-source WebAssembly binding for llama.cpp that allows large language models to run entirely inside the browser. It can be hosted as a static site to provide fully client-side AI inference.
- Browser-based inference
- WebAssembly powered
- No server needed
- Static site deployable
vLLM vs Wllama: key differences
VLLM is written in Python, while Wllama is built with TypeScript. Licensing differs — Apache-2.0 for vLLM versus MIT for Wllama. Wllama is the lighter option, starting around 512 MB of RAM against 16,384 MB for vLLM. VLLM has the considerably larger community, at 92,565 GitHub stars versus 1,309. VLLM lists first-class Docker deployment; Wllama does not.
Why pick each one
Choose vLLM if…
- Excellent serving throughput
- OpenAI-compatible API
- Efficient GPU memory use
Watch out for
- GPU practically required
- Complex tuning options
Choose Wllama if…
- Released under the MIT license
- Active community (1.3k GitHub stars)
- Written in TypeScript
- Lightweight — runs in 512 MB RAM
Frequently asked questions
Is vLLM or Wllama better?
Neither is universally better. vLLM has the larger community, while Wllama is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are vLLM and Wllama free and open-source?
Yes. vLLM is licensed under Apache-2.0 and Wllama under MIT. Both can be self-hosted at no software cost.
Can I run vLLM and Wllama with Docker?
vLLM: yes. Wllama: check the project docs for container support.
Which is lighter on resources, vLLM or Wllama?
Wllama has the smaller minimum footprint at 512 MB of RAM, compared to about 16,384 MB for vLLM. Real-world usage depends on library size, user count, and enabled features.