Lumpiasty/llama.cpp
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qwen35: use post-norm hidden state for MTP (#24025)

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* qwen35: use post-norm hidden state for MTP

* rename pre_norm to nextn

* fix step35
This commit is contained in:
Aman Gupta
2026-06-04 01:29:09 +08:00
committed by GitHub
parent c8d6a00636
commit 166fe29492
12 changed files with 132 additions and 139 deletions
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src/models/qwen35moe.cpp
+12 -13
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@@ -200,7 +200,7 @@ llama_model_qwen35moe::graph::graph(const llama_model & model, const llm_graph_p
cur = build_layer_attn(inp->get_attn(), cur, inp_pos, sections, il);
}
if (il == n_transformer_layers - 1 && inp_out_ids && cparams.embeddings_pre_norm_masked) {
if (il == n_transformer_layers - 1 && inp_out_ids && cparams.embeddings_nextn_masked) {
cur = ggml_get_rows(ctx0, cur, inp_out_ids);
inpSA = ggml_get_rows(ctx0, inpSA, inp_out_ids);
}
@@ -232,16 +232,16 @@ llama_model_qwen35moe::graph::graph(const llama_model & model, const llm_graph_p
}
cur = inpL;
cb(cur, "h_pre_norm", -1);
res->t_h_pre_norm = cur;
// post-norm hidden state feeds both the LM head and the MTP seed below
cur = build_norm(cur, model.output_norm, nullptr, LLM_NORM_RMS, -1);
if (!cparams.embeddings_pre_norm_masked && inp_out_ids) {
cb(cur, "h_nextn", -1);
res->t_h_nextn = cur;
if (!cparams.embeddings_nextn_masked && inp_out_ids) {
cur = ggml_get_rows(ctx0, cur, inp_out_ids);
}
// Final norm
cur = build_norm(cur, model.output_norm, nullptr, LLM_NORM_RMS, -1);
cb(cur, "result_norm", -1);
res->t_embd = cur;
@@ -721,17 +721,16 @@ llama_model_qwen35moe::graph_mtp::graph_mtp(const llama_model & model, const llm
cur = ggml_add(ctx0, cur, ffn_residual);
cb(cur, "mtp_post_ffn", il);
// Pre-norm hidden state: used by the AR draft loop to seed the next MTP step.
cb(cur, "h_pre_norm", -1);
res->t_h_pre_norm = cur;
cur = ggml_get_rows(ctx0, cur, inp_out_ids);
ggml_tensor * head_norm_w = layer.nextn.shared_head_norm
? layer.nextn.shared_head_norm
: model.output_norm;
GGML_ASSERT(head_norm_w && "QWEN35MOE MTP: missing both nextn.shared_head_norm and output_norm");
cur = build_norm(cur, head_norm_w, nullptr, LLM_NORM_RMS, -1);
cb(cur, "h_nextn", -1);
res->t_h_nextn= cur;
cur = ggml_get_rows(ctx0, cur, inp_out_ids);
cb(cur, "mtp_shared_head_norm", -1);
ggml_tensor * head_w = layer.nextn.shared_head_head ? layer.nextn.shared_head_head : model.output;