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https://github.com/ggml-org/whisper.cpp.git
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talk-llama : sync llama.cpp
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@@ -1,13 +1,11 @@
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#include "models.h"
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llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_params & params) :
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llm_graph_context(params) {
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const int64_t n_embd_head = hparams.n_embd_head_v;
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const int64_t n_embd_head = hparams.n_embd_head_v();
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GGML_ASSERT(n_embd_head == hparams.n_embd_head_k);
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GGML_ASSERT(n_embd_head == hparams.n_rot);
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GGML_ASSERT(n_embd_head == hparams.n_embd_head_k());
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GGML_ASSERT(n_embd_head == n_rot);
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ggml_tensor * cur;
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ggml_tensor * inpL;
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@@ -91,7 +89,7 @@ llm_build_dots1::llm_build_dots1(const llama_model & model, const llm_graph_para
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model.layers[il].ffn_exp_probs_b,
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n_expert, n_expert_used,
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LLM_FFN_SILU, hparams.expert_weights_norm,
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true, hparams.expert_weights_scale,
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hparams.expert_weights_scale,
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(llama_expert_gating_func_type) hparams.expert_gating_func,
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il);
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cb(moe_out, "ffn_moe_out", il);
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