Small models vs large models: decide through evidence
Compare small and large models across capability, robustness, latency, memory, cost and system role.
Size is neither a quality guarantee nor a defect; it is one materialization variable among others.
A small model may lose rare cases; a large model may waste computation on a simple controllable function.
Mission and evidence decide whether the large model is retained, specialized, routed or replaced.
What the architecture must make explicit
Cost is reduced at realization level: avoiding calls, shortening context, quantizing, routing or rematerializing a responsibility can matter more than isolated model optimization.
Move from a keyword to an inspectable engineering decision
Profile
Measure actual system costs, including retries, transfers, memory and verification.
Attribute
Determine which responsibilities still require a powerful model.
Transform
Test reduction, quantization, specialization, caching, routing or substitution.
Compare
Keep the same capability contract and publish exact hardware conditions.
A claim is only as strong as its binding
The gate must evaluate the exact output produced by the exact realization. Integrity, scientific validity and authority are related, but never interchangeable.
Questions that change the design
What does small models vs large models: decide through evidence require?
Size is neither a quality guarantee nor a defect; it is one materialization variable among others. Cost is reduced at realization level: avoiding calls, shortening context, quantizing, routing or rematerializing a responsibility can matter more than isolated model optimization.
Which evidence should be retained?
At minimum: exact realization identity, inputs and outputs, protocol version, measurements, failure cases and the decision rule. Mission and evidence decide whether the large model is retained, specialized, routed or replaced.
Does AMF prescribe a particular model?
No. AMF treats the model, runtime, data, tools and deterministic components as candidate materials. Their retention depends on measured contribution and declared constraints.