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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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@@ -1,9 +1,9 @@
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#include "models.h"
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llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_graph_params & params) : 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_embd_head_k());
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int sections[4];
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std::copy(std::begin(hparams.rope_sections), std::begin(hparams.rope_sections) + 4, sections);
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@@ -128,7 +128,7 @@ llm_build_glm4_moe::llm_build_glm4_moe(const llama_model & model, const llm_grap
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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(routed_out, "ffn_moe_out", il);
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