Lexical Translation Layer artifact card
A Lexical Translation Layer converts an accepted canonical value into tokenizer or output controls. It can make a runtime emit the routed value without claiming that the model represented or reasoned over that value internally.
Artifact
gemma4-e4b-q8-llama.ltl
| Field | Value |
|---|---|
| Adapter class | LTL |
| Support level | lexical or output |
| Format | planner-cache-ltl-v1 |
| Model | Gemma4 E4B Q8 GGUF |
| Runtime | llama.cpp |
| Control | direct adaptive logit bias |
| Parameters | 0 |
| Canonical protocol | pcm-canonical-p-v1 |
| GGUF SHA-256 | a4c4177f9fd7e3f56522675afb742f079a53f9226195b7db5e9888c872f053da |
| Tokenizer bundle SHA-256 | b3033e12af0ed503d8b80390c79d02d6bd9bc372e93e377cc1dd6514b7cd21d6 |
| Artifact SHA-256 | 7eee07ed813796dd0d25b04b48aec73507b934479ad8902e1b657653c040781a |
The LTL receives only a universal-router accepted canonical value. It tokenizes the exact UTF-8 value and applies one lexical target at a time. Rejected entity, relation, historical, invalidated, router-disabled, and LTL-disabled paths create no target and remain base-equivalent.
The matched 128-value complexity audit recorded 128 of 128 exact strings for direct adaptive logit bias with active-path KL 3.2561. KL divergence measures how far the full output distribution moved from the frozen base. The selected artifact stores identity and control metadata only. It contains no learned tensors, base weights, vocabulary table, P contents, conversation state, or optimizer state.
LTL support proves routed lexical emission. It does not prove internal semantic reasoning over P. Historical Gemma residual and sequence .translate artifacts remain research evidence and are not TTLs.