Models

Small models. One job each.

Trace

Draft models for one target.

A small model that predicts a large one, so speculative decoding accepts more of its guesses.

v0
0.5B, distilled from Qwen2.5 7B. +3% accepted tokens.
v1
35,000 prompts, trained on the 7B's own probabilities. In training.
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+3 points top-1 agreement over the stock draft.
Note 15
Lattice

Answers that survive 2 bits.

Models that keep their accuracy when compressed below 4 bits per weight.

v0
Calibrated Q2_K. GSM8K 21% → 42% at the same size.
v1
Quantization-aware training, and 7B to 32B on the Strix Halo.
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At least 60% at Q2_K size, cheaper per answer than Q4_0.
Note 20
A server memory module
Kinetic

A model shaped by energy.

Width, depth and vocabulary chosen from what each costs per token on real hardware.

Status
Planned, after Trace v1.
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Beat a same-size Qwen on joules per correct answer.
The program