0hq/WebGPT

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3792 stars · 223 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

WebGPT is a vanilla JavaScript and HTML implementation of GPT transformer inference running in the browser via WebGPU, in under ~1500 lines of code. It serves as both a proof-of-concept for browser-based LLM inference and an educational resource, with tested support for models up to ~500M parameters.

Use cases

• run GPT models entirely in the browser without a server
• learn how transformer inference works from a small codebase
• experiment with WebGPU compute shaders for machine learning
• run GPT-2 locally client-side with no backend
• demo browser-based LLM inference to others
• benchmark token generation speed on GPU in the browser

When to choose

• you want serverless, fully client-side LLM inference in a WebGPU-capable browser
• you want a small, readable codebase to learn transformer/GPU kernel implementation
• you want a proof-of-concept for WebGPU compute in ML

When to avoid

• you need production-grade, optimized inference for large models
• you need broad browser support (WebGPU is still rolling out)
• you need a packaged library or stable API - it's a proof-of-concept
• you need fast inference for models above ~1B parameters

Facets

library · maturity experimental

llm-inference deep-learning machine-learning gpu-computing large-language-models deep-learning web-development education browser webgpu gpt transformers vanilla-javascript client-side-inference proof-of-concept educational javascript

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