Michelangelo Romero Chisco
Individual
| Plan | Amount | Frequency | Channel(s) |
|---|---|---|---|
|
Terse Mini pre-training compute
Fund GPU/TPU compute for Terse Mini (1.5B active / 4.5B total ternary sparse transformer) pre-training on 200B tokens. All weights and training code published openly under Apache 2.0. |
USD 9,000 | One-Time | |
|
ternative v2.0 — MoE, KDA, vision support
Extend ternative to serve Terse models: MoE expert dispatch, KDA (Kimi Delta Attention) kernels, MLA with KV absorption, recurrent depth, Apple Metal backend. This makes ternative the reference inference engine for the next generation of ternary models. |
USD 15,000 | One-Time |
| Channel | Type | Address |
|---|---|---|
| Floss-Fund |
Other
FLOSS/fund grant |
[email protected] |
Individual