ADIL ECO · DEPLOYMENT

Plan Eco for your hardware.

“A model loads” is not the same as “the system is qualified.” We evaluate model, Thynkr-developed runtime environment, memory, platform and workload together.

Tested does not mean universally supported.

An Eco candidate has been exercised in internal tests on Apple M1/macOS ARM64. These observations do not establish broad support across Windows, Android, other Apple devices or consumer Linux hardware.

  • macOSApple Silicon · Initial development target
  • Linuxx86-64 · Qualification pending
  • Windowsx86-64 · Qualification pending
  • Androidarm64 · Qualification pending

Understanding model memory.

A model's file size is not its full operating requirement. Working memory, context state, application buffers and the operating system all consume resources.

Runtime memory
867 MB process footprint · one Apple M1 · 4K context
Model file
Model file: 484 MB on disk (Q4_K_M).
Status
Measured on one Apple M1 test host. Other hosts are unverified; this is not a minimum requirement.

Local does not always mean disconnected.

Inference may operate locally on a qualified setup. Developer-enabled tools, updates, accounts, data connectors and optional remote services may still communicate over a network. Your application controls those integrations.

Before planning a deployment.

Check the model family, supported hardware, available package, context budget, tool permissions and maintenance needs. As of the current release record, no public package is available for general installation.