Alternatives
Products that do what Train a language model in the browser with WebGPU does
- 1DL
2019 · beta.aifiddle.io
- 2TA
2020 · colab.research.google.com
- 3WE
Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…
2025 · andreinwald.github.io
- 4BR
Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface
2025 · github.com
- 5

- 6AR
2014 · prelang.com
- 7WC
Using threaded emscripten to speed up the generation and offload the main loop. No SIMD or other optimizations. Might work faster with #enable-experimental-webassembly-features enabled. Tested in x86 Chrome and Firefox, Apple Silicon Safari Run it yourself: https://github.com/lxe/ggml/tree/wasm-demo Thanks, https://github.com/ggerganov/ggml,
2023 · lxe.co
- 8AE
2018 · kabas.online
- 9WA
In browser PPO training demo, made possible by tinygrad: TinyJit -> WebGPU kernels. Requires WebGPU.
May 2026 · ppo.gradexp.xyz
- 10SC
2020 · github.com
- 11FT
Aug 2026 · github.com
- 12IB
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com
- 13BA
2020 · librelingo.app
- 14

- 15AT
2018 · blog.imgtranslate.com
- 16GG
2020 · github.com
- 17AP
2015 · fatiherikli.github.io
- 18ML
Aug 2026 · github.com
- 19TA
2017 · github.com
- 20LI
2018 · languagemodels.io
- 21LG
2020 · classroom.qvault.io
- 22IT
Jul 2026 · inflect-tts.geronimo-labs.com
- 23WP
2024 · answer.ai
- 24AB
2015 · neurovis.dataphoric.com
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