Lumpiasty/llama.cpp
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tests : add support for qwen3 SSM archs (#24031)

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* tests : add support for qwen3 SSM archs

* arch : add LLM_KV_ATTENTION_RECURRENT_LAYERS

* cont : naming + TODOs
This commit is contained in:
Georgi Gerganov
2026-06-03 10:15:27 +03:00
committed by GitHub
parent d545a2a993
commit 06938ac129
25 changed files with 109 additions and 83 deletions
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src/models/nemotron-h.cpp
+3 -3
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@@ -10,7 +10,7 @@ void llama_model_nemotron_h::load_arch_hparams(llama_model_loader & ml) {
// A layer is recurrent IFF the n_head_kv value is set to 0 and
// the n_ff value is set to 0
for (uint32_t i = 0; i < hparams.n_layer; ++i) {
hparams.recurrent_layer_arr[i] = (hparams.n_head_kv(i) == 0 && hparams.n_ff(i) == 0);
hparams.is_recr_impl[i] = (hparams.n_head_kv(i) == 0 && hparams.n_ff(i) == 0);
}
ml.get_key(LLM_KV_ATTENTION_LAYERNORM_RMS_EPS, hparams.f_norm_rms_eps);
@@ -62,7 +62,7 @@ void llama_model_nemotron_h::load_arch_tensors(llama_model_loader &) {
// all blocks use the attn norm
layer.attn_norm = create_tensor(tn(LLM_TENSOR_ATTN_NORM, "weight", i), {n_embd}, 0);
if (hparams.is_recurrent(i)) {
if (hparams.is_recr(i)) {
// ssm layers
layer.ssm_in = create_tensor(tn(LLM_TENSOR_SSM_IN, "weight", i), {n_embd, d_in_proj}, 0);
@@ -143,7 +143,7 @@ llama_model_nemotron_h::graph::graph(const llama_model & model, const llm_graph_
cur = build_norm(inpL, model.layers[il].attn_norm, NULL, LLM_NORM_RMS, il);
cb(cur, "attn_norm", il);
if (hparams.is_recurrent(il)) {
if (hparams.is_recr(il)) {
// ssm layer //
cur = build_mamba2_layer(inp->get_recr(), cur, model, ubatch, il);
} else if (hparams.n_ff(il) == 0) {