#pragma once #include "engine/framework/assets/resource_bundle.h" #include "engine/framework/modules/speech_encoders/qwen3_audio_encoder_runtime.h" #include #include #include #include #include #include namespace engine::assets { class TensorSource; } namespace engine::models::qwen3_asr { using Qwen3ASRAudioEncoderConfig = modules::Qwen3AudioEncoderConfig; struct Qwen3ASRTextDecoderConfig { 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_token_id = 0; int64_t audio_start_token_id = 0; int64_t audio_end_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 Qwen3ASRFrontendConfig { int sample_rate = 16000; int64_t feature_size = 128; int64_t hop_length = 160; int64_t n_fft = 400; }; struct Qwen3ASRConfig { std::string model_type; std::string thinker_model_type; std::string model_size; int sample_rate = 16000; int64_t max_new_tokens = 512; int64_t classify_num = 0; int64_t timestamp_token_id = 0; int64_t timestamp_segment_time_ms = 0; bool hf_transformers_layout = false; bool tie_word_embeddings = false; Qwen3ASRFrontendConfig frontend; Qwen3ASRAudioEncoderConfig audio_encoder; modules::Qwen3AudioEncoderWeightBinding audio_encoder_binding; Qwen3ASRTextDecoderConfig text_decoder; std::vector supported_languages; }; struct Qwen3ASRAssets { assets::ResourceBundle resources; Qwen3ASRConfig config; std::shared_ptr model_weights; }; std::shared_ptr load_qwen3_asr_assets(const std::filesystem::path & model_path); std::shared_ptr load_qwen3_asr_assets( const std::filesystem::path & model_path, std::string_view package_family); std::shared_ptr load_qwen3_asr_assets( assets::ResourceBundle resources); } // namespace engine::models::qwen3_asr