feat(inference): pass [[models]] params through to llama-server (enables draft-MTP) (#243)

ModelConfig.params was loaded from config but never consumed — the spawn
command in DefaultModelManager was hardcoded. Thread it through: params (a
flag->value map) flattens to token order on ModelDescriptor.extraArgs and
appends to the llama-server argv. This engages Multi-Token Prediction
speculative decoding purely from config:

  [[models]]
  params = { "-md" = "/path/draft.gguf", "-ngld" = "99", "--spec-type" = "draft-mtp", "--spec-draft-n-max" = "4" }

Each entry stays a distinct argv token (no shell), so paths with spaces are safe.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
2026-07-18 14:28:26 +04:00
parent 6010f6b6c0
commit 7b90944b61
4 changed files with 29 additions and 1 deletions
@@ -12,4 +12,7 @@ data class ModelDescriptor(
val idleTimeoutMs: Long = 60_000L,
val contextSize: Int = 24_576,
val capabilities: Set<CapabilityScore> = emptySet(),
/** Extra llama-server CLI args (already flattened to token order), e.g. draft-MTP speculative
* decoding: `-md <draft.gguf> -ngld 99 --spec-type draft-mtp --spec-draft-n-max 4`. */
val extraArgs: List<String> = emptyList(),
)