Merge branch 'upstream' into concedo_experimental

# Conflicts:
#	scripts/sync_vendor.py
#	src/llama-model-loader.cpp
#	tests/test-backend-ops.cpp
#	tests/test-chat-auto-parser.cpp
#	tests/test-chat.cpp
#	tools/cli/cli.cpp
#	tools/server/README.md
This commit is contained in:
Concedo
2026-07-05 11:30:12 +08:00
59 changed files with 2031 additions and 429 deletions
+14 -5
View File
@@ -955,10 +955,11 @@ struct common_speculative_impl_draft_dflash : public common_speculative_impl {
LOG_INF("%s: - block_size=%d, mask_token_id=%d, n_extract=%u\n", __func__, block_size, mask_token_id, target_layer_ids_n);
// DFlash input is [id_last, <mask> * (block_size-1)], so it can draft at most block_size-1 tokens per step
if (this->params.n_max > block_size - 1) {
LOG_WRN("%s: requested draft size %d exceeds the trained DFlash block size %d -- clamping to %d draft tokens per step\n",
__func__, this->params.n_max, block_size - 1, block_size - 1);
this->params.n_max = block_size - 1;
if (this->params.n_max > block_size - 1 || this->params.n_min > block_size - 1) {
LOG_WRN("%s: requested draft size (n_max=%d, n_min=%d) exceeds the trained DFlash block size %d -- clamping to %d\n",
__func__, this->params.n_max, this->params.n_min, block_size, block_size - 1);
this->params.n_max = std::min(this->params.n_max, block_size - 1);
this->params.n_min = std::min(this->params.n_min, block_size - 1);
}
batch = llama_batch_init(llama_n_batch(ctx_dft), 0, n_seq);
@@ -968,7 +969,7 @@ struct common_speculative_impl_draft_dflash : public common_speculative_impl {
for (auto & s : smpls) {
common_params_sampling sparams;
sparams.no_perf = false;
sparams.top_k = 1;
sparams.top_k = 10;
sparams.samplers = { COMMON_SAMPLER_TYPE_TOP_K };
s.reset(common_sampler_init(model_dft, sparams));
}
@@ -1173,10 +1174,18 @@ struct common_speculative_impl_draft_dflash : public common_speculative_impl {
const llama_token id = cur_p->data[0].id;
if (cur_p->data[0].p < params.p_min) {
break;
}
common_sampler_accept(smpl, id, true);
result.push_back(id);
}
if (result.size() < (size_t) params.n_min) {
result.clear();
}
}
}