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# Three AI engines walk into a bar in single file...

**[The Register](https://daily.dev/sources/theregister)** · 5 min read · 0 upvotes · 0 comments

## Summary

Leonardo Russo released llama3pure, a set of three dependency-free inference engines for running local ML models in C, Node.js, and browser JavaScript. Unlike llama.cpp which prioritizes performance, llama3pure focuses on educational transparency by providing single-file implementations that make the logic of GGUF file parsing and token generation easily understandable. The engines support Llama and Gemma architectures, with testing up to 8B parameters for Llama and 4B for Gemma, limited primarily by available RAM. Russo positions this as a tool for developers who need architectural clarity, legacy hardware compatibility, or isolated implementations without dependency conflicts.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://go.theregister.com/feed/www.theregister.com/2026/02/08/llama3pure_incorporates_three_inference_engines/>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#javascript](https://daily.dev/tags/javascript), [#nodejs](https://daily.dev/tags/nodejs), [#c](https://daily.dev/tags/c), [#llama](https://daily.dev/tags/llama)

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