llama : MTP clean-up (#23269)

* llama : disable equal splits for recurrent memory with partial rollback

* spec : re-enable p-min with MTP drafts

* spec : re-enable ngram spec in combination with RS rollback

* spec : fix ngram-map-* params

* spec : fix acceptance logic in combined ngram + draft configs

* graph : fix reuse for combined `token` + `embd` batches

* spec : log parameters for each speculative implementation

- add LOG_INF in each constructor with implementation type and parameters
- extract device string logic into common_speculative_get_devices_str()
- move 'adding speculative implementation' log from init into constructors

Assisted-by: llama.cpp:local pi

* spec : extend --spec-default with ngram-map-k4v

Assisted-by: llama.cpp:local pi

* minor : fix n_embd log

* args : update draft.n_max == 3 + regen docs

* spec : relax ngram-mod rejection thold to 0.25 @ 5 low

* logs : improve

* docs : update speculative decoding CLI argument documentation

- Add missing draft model CPU scheduling and tensor override parameters
- Update --spec-type to include all available types (excluding draft-eagle3 WIP)
- Fix default values to match implementation (n_max=3, n_min=0, p_min=0.0)
- Remove deprecated options (spec-draft-ctx-size, spec-draft-replace)
- Add environment variables for new parameters

Assisted-by: llama.cpp:local pi

* arg : step-back on adding k4v to the default spec config

* cont : fix name
This commit is contained in:
Georgi Gerganov
2026-05-19 15:32:58 +03:00
committed by GitHub
parent 6db130445d
commit d14ce3dab4
15 changed files with 293 additions and 134 deletions
-23
View File
@@ -1256,29 +1256,6 @@ common_init_result::common_init_result(common_params & params, bool model_only)
cparams.n_samplers = pimpl->samplers_seq_config.size();
}
// [TAG_RS_STATE_ROLLBACK_SUPPORT]
// TODO: ngram speculative methods require checkpointing in addition to partial RS rollback
// currently this is not supported. so we disable the partial rollback
if (cparams.n_rs_seq > 0 && (llama_model_is_recurrent(model) || llama_model_is_hybrid(model))) {
auto & types = params.speculative.types;
for (int i = 0; i < (int) types.size(); i++) {
if (types[i] == COMMON_SPECULATIVE_TYPE_NONE) {
continue;
}
if (types[i] == COMMON_SPECULATIVE_TYPE_DRAFT_MTP) {
continue;
}
cparams.n_rs_seq = 0;
LOG_WRN("%s: recurrent state rollback is not compatible with '%s' - disabling rollback support\n", __func__,
common_speculative_type_to_str(types[i]).c_str());
break;
}
}
llama_context * lctx = llama_init_from_model(model, cparams);
if (lctx == NULL) {
LOG_ERR("%s: failed to create context with model '%s'\n", __func__, params.model.path.c_str());