PleIAs/Pleias-Nano
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Thomas Nguyen
ThomasTheMaker
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AI & ML interests
Building the world's fastest CPU LLM inference layer
Recent Activity
commented on
a paper
about 2 hours ago
Tina: Tiny Reasoning Models via LoRA
commented on
a paper
14 days ago
A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths
to Reproducibility
replied to
takarajordan's
post
15 days ago
🎌 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 — in a form that's lightweight, clean, and dependency-free.
We’re proud to say that every part of this project reflects what we set out to do.
- Pure Go — 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 — the stars, forks, and feedback mean a lot.
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