Uses a proposed compact transformer profile to explain model metadata, runtime operators, quantization, memory estimates, and test design without asserting verified throughput.
Reference profile
Research reports propose a compact decoder-only transformer around four layers and a 512-wide hidden state. Treat every dimension, tokenizer, parameter total, and artifact size as a candidate profile until an exact model source is verified.
Required runtime evidence
- Embedding, attention, feed-forward, normalization, position encoding, output, and tokenizer tensor names and shapes.
- Context and KV-cache layout.
- Precision or quantization by tensor.
- Peak memory under a named prompt and generation length.
- Reference logits or token outputs for regression testing.
Scope
This starter page defines the questions, boundaries, evidence, and failure modes that should be recorded before a capability is presented as supported.
Engineering considerations
- Identify the source, version, target environment, and owner.
- Separate observed values from estimates and externally reported values.
- Record trade-offs, unsupported cases, and fallback behavior.
- Link performance statements to a compatible benchmark methodology.
Verification questions
- What exact artifact, revision, backend, and environment were reviewed?
- Which assumptions could change the result?
- Which data should be retained so another engineer can reproduce the conclusion?