sleepy/llama.cpp
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model : refactor QKV into common build_qkv and create_tensor_qkv helpers (#21245)

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* model : refactor QKV into common build_qkv and create_tensor_qkv helpers

* model : extend build_qkv to bert/mpt/dbrx/olmo/lfm2/nemotron-h/granite-hybrid/gemma3n-iswa/t5-dec and fix wqkv_s
This commit is contained in:
PikaPikachu
2026-04-16 23:41:34 +08:00
committed by GitHub
parent f772f6e434
commit 9db77a020c
88 changed files with 351 additions and 1764 deletions
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src/models/qwen.cpp
+2 -9
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@@ -27,15 +27,8 @@ llm_build_qwen::llm_build_qwen(const llama_model & model, const llm_graph_params
// self-attention
{
cur = build_lora_mm(model.layers[il].wqkv, cur);
cb(cur, "wqkv", il);
cur = ggml_add(ctx0, cur, model.layers[il].bqkv);
cb(cur, "bqkv", il);
ggml_tensor * Qcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 0*sizeof(float)*(n_embd));
ggml_tensor * Kcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 1*sizeof(float)*(n_embd));
ggml_tensor * Vcur = ggml_view_3d(ctx0, cur, n_embd_head, n_head_kv, n_tokens, n_embd_head*sizeof(float), cur->nb[1], 2*sizeof(float)*(n_embd));
auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
n_embd_head, n_head, n_head_kv, il);
// using mode = 2 for neox mode
Qcur = ggml_rope_ext(