fix: Remove llama_model_is_hybrid_Recurrent public API
https://github.com/ggml-org/llama.cpp/pull/13979#discussion_r2141728423 Branch: HybridRecurrentCache Signed-off-by: Gabe Goodhart <ghart@us.ibm.com>
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@ -572,9 +572,6 @@ extern "C" {
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// Returns true if the model is recurrent (like Mamba, RWKV, etc.)
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// Returns true if the model is recurrent (like Mamba, RWKV, etc.)
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LLAMA_API bool llama_model_is_recurrent(const struct llama_model * model);
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LLAMA_API bool llama_model_is_recurrent(const struct llama_model * model);
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// Returns true if the model is hybrid-recurrent (like Jamba, Bamba, etc.)
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LLAMA_API bool llama_model_is_hybrid_recurrent(const struct llama_model * model);
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// Returns 0 on success
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// Returns 0 on success
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LLAMA_API uint32_t llama_model_quantize(
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LLAMA_API uint32_t llama_model_quantize(
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const char * fname_inp,
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const char * fname_inp,
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@ -14405,10 +14405,6 @@ bool llama_model_is_recurrent(const llama_model * model) {
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return llm_arch_is_recurrent(model->arch);
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return llm_arch_is_recurrent(model->arch);
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}
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}
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bool llama_model_is_hybrid_recurrent(const llama_model * model) {
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return llm_arch_is_hybrid_recurrent(model->arch);
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}
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const std::vector<std::pair<std::string, ggml_tensor *>> & llama_internal_get_tensor_map(const llama_model * model) {
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const std::vector<std::pair<std::string, ggml_tensor *>> & llama_internal_get_tensor_map(const llama_model * model) {
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return model->tensors_by_name;
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return model->tensors_by_name;
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}
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}
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