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https://github.com/ggml-org/whisper.cpp.git
synced 2026-10-18 13:17:59 +02:00
talk-llama : sync llama.cpp
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@@ -27,19 +27,8 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_gr
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cb(cur, "attn_norm", il);
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// self-attention
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ggml_tensor * Qcur = build_lora_mm(model.layers[il].wq, cur);
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cb(Qcur, "Qcur", il);
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ggml_tensor * Kcur = build_lora_mm(model.layers[il].wk, cur);
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cb(Kcur, "Kcur", il);
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ggml_tensor * Vcur = build_lora_mm(model.layers[il].wv, cur);
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cb(Vcur, "Vcur", il);
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Qcur = ggml_reshape_3d(ctx0, Qcur, n_embd_head, n_head, n_tokens);
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Kcur = ggml_reshape_3d(ctx0, Kcur, n_embd_head, n_head_kv, n_tokens);
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Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
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auto [Qcur, Kcur, Vcur] = build_qkv(model.layers[il], cur,
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n_embd_head, n_head, n_head_kv, il);
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Qcur = ggml_rope_ext(ctx0, Qcur, inp_pos, nullptr, n_rot, hparams.rope_type, n_ctx_orig, freq_base, freq_scale,
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ext_factor, attn_factor, beta_fast, beta_slow);
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@@ -52,7 +41,7 @@ llm_build_falcon_h1::llm_build_falcon_h1(const llama_model & model, const llm_gr
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cb(Vcur, "Vcur-post-rope", il);
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ggml_tensor * attn_out = build_attn(inp->get_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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Qcur, Kcur, Vcur, nullptr, nullptr, nullptr, kq_scale, il);
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cb(attn_out, "attn_out", il);
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