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Author SHA1 Message Date
Ruixiang Wang b14e3fb90c spec: support eagle3 for qwen3.5 & 3.6 (#24593)
* spec: support qwen3.5 & 3.6 eagle3 draft

* eagle3: Add deferred boundary checkpoints restore support for hybrid models

* apply suggestions

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>

* spec: adapt to API change

* spec: fix naming

* cont : add TODO

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
2026-06-19 13:08:50 +03:00
7 changed files with 92 additions and 2 deletions
+3 -1
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@@ -2034,7 +2034,7 @@ bool common_prompt_batch_decode(
}
size_t common_prompt_checkpoint::size() const {
return data_tgt.size() + data_dft.size();
return data_tgt.size() + data_dft.size() + data_spec.size();
}
bool common_prompt_checkpoint::empty() const {
@@ -2049,6 +2049,7 @@ void common_prompt_checkpoint::clear() {
data_tgt.clear();
data_dft.clear();
data_spec.clear();
}
void common_prompt_checkpoint::update_pos(
@@ -2138,4 +2139,5 @@ void common_prompt_checkpoint::clear_tgt() {
void common_prompt_checkpoint::clear_dft() {
data_dft.clear();
data_spec.clear();
}
+5 -1
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@@ -363,7 +363,7 @@ struct common_params_speculative {
uint32_t need_n_rs_seq() const {
bool needs_rs_seq = std::any_of(types.begin(), types.end(), [&](auto t) {
return t == COMMON_SPECULATIVE_TYPE_DRAFT_MTP;
return t == COMMON_SPECULATIVE_TYPE_DRAFT_MTP || t == COMMON_SPECULATIVE_TYPE_DRAFT_EAGLE3;
});
return needs_rs_seq ? draft.n_max : 0u;
@@ -1065,6 +1065,10 @@ struct common_prompt_checkpoint {
std::vector<uint8_t> data_tgt;
std::vector<uint8_t> data_dft;
// (optional) speculative-decoding implementation state stashed with the checkpoint
// (e.g. eagle3's deferred-boundary g_embd row)
std::vector<uint8_t> data_spec;
size_t size() const;
bool empty() const;
+72
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@@ -161,6 +161,10 @@ struct common_speculative_impl {
virtual void accept(llama_seq_id seq_id, uint16_t n_accepted, bool is_other) = 0;
// (optional) serialize/restore per-seq internal state (e.g. eagle3's deferred boundary).
virtual bool get_state(llama_seq_id /*seq_id*/, std::vector<uint8_t> & /*data*/) const { return false; }
virtual void set_state(llama_seq_id /*seq_id*/, const std::vector<uint8_t> & /*data*/) {}
// true if this implementation requires the target context to extract post-norm embeddings
virtual bool need_embd() const = 0;
@@ -841,6 +845,49 @@ struct common_speculative_impl_draft_eagle3 : public common_speculative_impl {
(size_t) n_embd_dec * sizeof(float));
}
// we only need to stash the deferred boundary's g_embd row for recurrent/hybrid targets:
// their single-position checkpoints drop it on restore
bool need_boundary_stash() const {
const llama_model * model_tgt = llama_get_model(params.ctx_tgt);
return llama_model_is_recurrent(model_tgt) || llama_model_is_hybrid(model_tgt);
}
bool get_state(llama_seq_id seq_id, std::vector<uint8_t> & data) const override {
if (!need_boundary_stash()) {
return false;
}
if (seq_id < 0 || seq_id >= (llama_seq_id) n_seq || pending_pos_last[seq_id] < 0) {
return false;
}
const llama_pos pos = pending_pos_last[seq_id];
const std::vector<float> & g = pending_g_last[seq_id];
data.resize(sizeof(llama_pos) + g.size() * sizeof(float));
std::memcpy(data.data(), &pos, sizeof(llama_pos));
std::memcpy(data.data() + sizeof(llama_pos), g.data(), g.size() * sizeof(float));
return true;
}
void set_state(llama_seq_id seq_id, const std::vector<uint8_t> & data) override {
if (!need_boundary_stash()) {
return;
}
if (seq_id < 0 || seq_id >= (llama_seq_id) n_seq) {
return;
}
if (data.size() != sizeof(llama_pos) + (size_t) n_embd_dec * sizeof(float)) {
return;
}
llama_pos pos = -1;
std::memcpy(&pos, data.data(), sizeof(llama_pos));
pending_pos_last[seq_id] = pos;
pending_g_last[seq_id].resize(n_embd_dec);
std::memcpy(pending_g_last[seq_id].data(), data.data() + sizeof(llama_pos), (size_t) n_embd_dec * sizeof(float));
}
bool need_embd() const override {
return false;
}
@@ -2118,6 +2165,31 @@ void common_speculative_accept(common_speculative * spec, llama_seq_id seq_id, u
}
}
// TODO: support the case of more than one speculative implementations having a state
bool common_speculative_get_state(common_speculative * spec, llama_seq_id seq_id, std::vector<uint8_t> & data) {
if (spec == nullptr) {
return false;
}
for (auto & impl : spec->impls) {
if (impl->get_state(seq_id, data)) {
return true;
}
}
return false;
}
void common_speculative_set_state(common_speculative * spec, llama_seq_id seq_id, const std::vector<uint8_t> & data) {
if (spec == nullptr) {
return;
}
for (auto & impl : spec->impls) {
impl->set_state(seq_id, data);
}
}
void common_speculative_print_stats(const common_speculative * spec) {
if (spec == nullptr) {
return;
+4
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@@ -68,6 +68,10 @@ void common_speculative_draft(common_speculative * spec);
// informs the speculative context that n_accepted tokens were accepted by the target model
void common_speculative_accept(common_speculative * spec, llama_seq_id, uint16_t n_accepted);
// (optional) get/set internal state
bool common_speculative_get_state(common_speculative * spec, llama_seq_id seq_id, std::vector<uint8_t> & data);
void common_speculative_set_state(common_speculative * spec, llama_seq_id seq_id, const std::vector<uint8_t> & data);
// print statistics about the speculative decoding
void common_speculative_print_stats(const common_speculative * spec);
+2
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@@ -156,6 +156,8 @@ llama_model_qwen35::graph::graph(const llama_model & model, const llm_graph_para
// MTP/NextN layers are loaded as extra decoder blocks but not executed in the main pass.
for (int il = 0; il < n_layer; ++il) {
res->t_layer_inp[il] = inpL;
ggml_tensor * inpSA = inpL;
cur = build_norm(inpL, model.layers[il].attn_norm, nullptr, LLM_NORM_RMS, il);
+2
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@@ -179,6 +179,8 @@ llama_model_qwen35moe::graph::graph(const llama_model & model, const llm_graph_p
// MTP/NextN layers are loaded as extra decoder blocks but not executed in the main pass.
for (int il = 0; il < n_layer; ++il) {
res->t_layer_inp[il] = inpL;
ggml_tensor * inpSA = inpL;
cur = build_norm(inpL, model.layers[il].attn_norm, nullptr, LLM_NORM_RMS, il);
+4
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@@ -2172,6 +2172,8 @@ private:
cur.update_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
cur.update_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
// stash the draft's speculative state with the checkpoint
common_speculative_get_state(spec.get(), slot.id, cur.data_spec);
SLT_INF(slot,
"created context checkpoint %d of %d (pos_min = %d, pos_max = %d, n_tokens = %" PRId64 ", size = %.3f MiB)\n",
@@ -2998,6 +3000,8 @@ private:
// restore the context checkpoint
it->load_tgt(ctx_tgt, slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
it->load_dft(ctx_dft.get(), slot.id, LLAMA_STATE_SEQ_FLAGS_PARTIAL_ONLY);
// restore the draft's speculative state
common_speculative_set_state(spec.get(), slot.id, it->data_spec);
pos_next = std::min(pos_next, std::max(it->pos_min + 1, it->pos_max));
n_past = std::min(slot.prompt.tokens.size_up_to_pos(pos_next), (size_t) it->n_tokens);