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Dex-1B

Open-Source Non-Autoregressive Decision Model

MODEL: CANADAORNAW/DEX-1BARCH: ETTIN-1B ENCODER (784M TUNED)LATENCY: 18 MS · APACHE-2.0
Operational Problem

Calling a commercial decision API for every classification, routing, or command-gating check in an agent loop costs money per call and adds 780–890 ms of network latency.

Engineered System

I built and released Dex-1B (github.com/CanadaOrNaw/dex · huggingface.co/CanadaOrNaw/dex-1b), a local drop-in replacement for the TypeSafe Jev API (POST /v1/systemone). It pairs the 1.1B-parameter bidirectional Ettin encoder (784M parameters fine-tuned; embeddings and lowest 7 of 28 layers frozen) with a custom typed decision head trained from scratch on my own RTX 3070 Ti (8 GB) in bfloat16. Trained for 3 epochs against strictly proper scoring rules (cross-entropy + KL divergence) with 30% option shuffling across ~1,080 distinct instruction wordings.

Everyday Use Cases (1,244 q)
81.5% (vs. Paid API 84.6% · Laya 68.2%)
Command Gating Accuracy
93.3% (vs. Stock Laya 47.5%)
Unseen Tasks Ablation Gain
+4.0 pts (wording) + 5.2 pts (1.1B body)
Single-Pass Inference
18 ms / decision · 2.4 GB VRAM (bf16)
Dex-1B model card on Hugging Face
Dex repository on GitHub
Dex-1B explainer frames