#pragma once #include "engine/framework/assets/resource_bundle.h" #include #include #include #include #include namespace engine::assets { class TensorSource; } namespace engine::models::higgs_audio_stt { struct HiggsAudioSTTWhisperEncoderConfig { int64_t num_mel_bins = 128; int64_t encoder_layers = 0; int64_t encoder_attention_heads = 0; int64_t encoder_ffn_dim = 0; int64_t d_model = 0; int64_t max_source_positions = 0; std::string activation_function = "gelu"; }; struct HiggsAudioSTTQwen3DecoderConfig { int64_t vocab_size = 0; int64_t output_size = 0; int64_t hidden_size = 0; int64_t intermediate_size = 0; int64_t num_hidden_layers = 0; int64_t num_attention_heads = 0; int64_t num_key_value_heads = 0; int64_t head_dim = 0; int64_t max_position_embeddings = 0; int64_t audio_in_token_id = 0; int64_t audio_out_token_id = 0; int64_t audio_bos_token_id = 0; int64_t audio_eos_token_id = 0; int64_t audio_out_bos_token_id = 0; int64_t pad_token_id = 0; std::vector eos_token_ids; float rms_norm_eps = 1.0e-6F; float rope_theta = 5000000.0F; std::vector mrope_section = {24, 20, 20}; }; struct HiggsAudioSTTFrontendConfig { int sample_rate = 16000; int64_t feature_size = 128; int64_t hop_length = 160; int64_t n_fft = 400; double chunk_size_seconds = 4.0; }; struct HiggsAudioSTTConfig { std::string model_type; std::string text_decoder_model_type; std::string model_size; int sample_rate = 16000; int64_t max_new_tokens = 1024; int64_t projector_temporal_downsample = 1; HiggsAudioSTTFrontendConfig frontend; HiggsAudioSTTWhisperEncoderConfig audio_encoder; HiggsAudioSTTQwen3DecoderConfig text_decoder; std::vector supported_languages; }; struct HiggsAudioSTTAssets { assets::ResourceBundle resources; HiggsAudioSTTConfig config; std::shared_ptr model_weights; }; std::shared_ptr load_higgs_audio_stt_assets(const std::filesystem::path & model_path); } // namespace engine::models::higgs_audio_stt