ikawrakow/ik_llama.cpp
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spec : add self speculative decoding, ngram and refactor (#1261)

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* spec : add self speculative decoding and ngram-mod and refactor

common : use common_ prefix for common library function

llama : use LLAMA_TOKEN_NULL

spec : add self speculative decoding (no draft model required) + refactor

spec : add ngram-mod

spec : various improvements ton ngram-map + docs

spec : fix the check-rate logic of ngram-simple

common : add common_speculative_is_compat()

spec : simplify time measurement using common_time_meas

refactor common_sampler_init

refactor common_token_to_piece

refactor and fix cur_p bug

clean up

* spec : remove check rate

* spec: show warnings instead of abort

---------

Co-authored-by: firecoperana <firecoperana>
Co-authored-by: Sascha Rogmann <59577610+srogmann@users.noreply.github.com>
This commit is contained in:
firecoperana
2026-02-13 12:04:55 -06:00
committed by GitHub
parent 1fdbc0dafe
commit 1cb7e1bf39
54 changed files with 2652 additions and 779 deletions
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4
examples/retrieval/retrieval.cpp
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@@ -185,7 +185,7 @@ int main(int argc, char ** argv) {
// tokenize the prompts and trim
for (auto & chunk : chunks) {
auto inp = ::llama_tokenize(ctx, chunk.textdata, true, false);
auto inp = ::common_tokenize(ctx, chunk.textdata, true, false);
if (inp.size() > n_batch) {
fprintf(stderr, "%s: error: chunk size (%lld) exceeds batch size (%lld), increase batch size and re-run\n",
__func__, (long long int) inp.size(), (long long int) n_batch);
@@ -258,7 +258,7 @@ int main(int argc, char ** argv) {
while (true) {
printf("Enter query: ");
std::getline(std::cin, query);
std::vector<int32_t> query_tokens = llama_tokenize(ctx, query, true);
std::vector<int32_t> query_tokens = common_tokenize(ctx, query, true);
struct llama_batch query_batch = llama_batch_init(n_batch, 0, 1);
batch_add_seq(query_batch, query_tokens, 0);