PipeOwl-1.6-tw (Geometric Embedding)

• base = cosine similarity in embedding space
• Δfield = static scalar field bias

• O(n) over vocabulary.
• No attention.
• No transformer weights.

Architecture

• Static embedding table (V × D)
• Aligned vocabulary index
• Optional scalar bias field (Δfield)
• Linear scoring
• Pluggable decoder stage
• Targeted for CPU environments and low-latency systems (e.g. IME).

Model Specs

Attribution

Quickstart

Example:

Repository Structure

LICENSE