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Thomas Nguyen
ThomasTheMaker
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https://billullonex.com
ThomasVuNguyen
AI & ML interests
Building the world's fastest CPU LLM inference layer
Recent Activity
commented
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a paper
3 days ago
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility
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takarajordan
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3 days ago
π Two months in, https://github.com/takara-ai/go-attention has passed 429 stars on GitHub. We built this library at takara.ai to bring attention mechanisms and transformer layers to Go β in a form that's lightweight, clean, and dependency-free. Weβre proud to say that every part of this project reflects what we set out to do. - Pure Go β no external dependencies, built entirely on the Go standard library - Core support for DotProductAttention and MultiHeadAttention - Full transformer layers with LayerNorm, feed-forward networks, and residual connections - Designed for edge, embedded, and real-time environments where simplicity and performance matter Thank you to everyone who has supported this so far β the stars, forks, and feedback mean a lot.
replied
to
takarajordan
's
post
4 days ago
π Two months in, https://github.com/takara-ai/go-attention has passed 429 stars on GitHub. We built this library at takara.ai to bring attention mechanisms and transformer layers to Go β in a form that's lightweight, clean, and dependency-free. Weβre proud to say that every part of this project reflects what we set out to do. - Pure Go β no external dependencies, built entirely on the Go standard library - Core support for DotProductAttention and MultiHeadAttention - Full transformer layers with LayerNorm, feed-forward networks, and residual connections - Designed for edge, embedded, and real-time environments where simplicity and performance matter Thank you to everyone who has supported this so far β the stars, forks, and feedback mean a lot.
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ThomasTheMaker/Luna-bin-files
Text Generation
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ThomasTheMaker/deepseek-r1-1.5b-q4-llamafile
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Jan 22
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