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https://github.com/ggml-org/whisper.cpp.git
synced 2026-10-07 06:51:30 +02:00
talk-llama : sync llama.cpp
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@@ -42,16 +42,8 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
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const auto n_embd_head = hparams.n_embd_head_v();
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const auto n_head_kv = hparams.n_head_kv(il);
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auto * q = build_lora_mm(model.layers[il].wq, cur);
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cb(q, "model.layers.{}.self_attn.q_proj", il);
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auto * k = build_lora_mm(model.layers[il].wk, cur);
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cb(k, "model.layers.{}.self_attn.k_proj", il);
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auto * v = build_lora_mm(model.layers[il].wv, cur);
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cb(v, "model.layers.{}.self_attn.v_proj", il);
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q = ggml_reshape_3d(ctx0, q, n_embd_head, n_head, n_tokens);
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k = ggml_reshape_3d(ctx0, k, n_embd_head, n_head_kv, n_tokens);
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v = ggml_reshape_3d(ctx0, v, n_embd_head, n_head_kv, n_tokens);
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auto [q, k, v] = build_qkv(model.layers[il], cur,
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n_embd_head, n_head, n_head_kv, il);
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// qk norm
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q = build_norm(q, model.layers[il].attn_q_norm, NULL, LLM_NORM_RMS, il);
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@@ -66,7 +58,7 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
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attn_factor, beta_fast, beta_slow);
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cur = build_attn(inp_attn,
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model.layers[il].wo, NULL,
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model.layers[il].wo, NULL, model.layers[il].wo_s,
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q, k, v, nullptr, nullptr, nullptr, 1.0f / sqrtf(float(n_embd_head)), il);
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cb(cur, "model.layers.{}.self_attn.out_proj", il);
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@@ -177,6 +169,9 @@ llm_build_lfm2<iswa>::llm_build_lfm2(const llama_model & model, const llm_graph_
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cb(ffn_norm_out, "model.layers.{}.ffn_out", il);
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cur = ggml_add(ctx0, cur, ffn_out);
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cur = build_cvec(cur, il);
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cb(cur, "l_out", il);
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}
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cur = build_norm(cur, model.output_norm, NULL, LLM_NORM_RMS, -1);
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