aha 0.2.6

aha model inference library, now supports Qwen(2.5VL/3/3VL/3.5/ASR/3Embedding/3Reranker), MiniCPM(4/5), VoxCPM(0.5B/1.5/2), DeepSeek-OCR/2, Hunyuan-OCR, PaddleOCR-VL/1.5, RMBG2.0, GLM(ASR-Nano-2512/OCR), Fun-ASR-Nano-2512, LFM(2/2.5/2VL/2.5VL)
Documentation 
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use serde::Deserialize;

use crate::models::gpt2::config::GPT2Config;

#[derive(Debug, Deserialize)]
pub struct MossTTSConfig {
    pub add_cross_attention: bool,
    // Audio Tokenizer Specifics
    pub audio_assistant_slot_token_id: u32,
    pub audio_codebook_sizes: Vec<usize>,
    pub audio_end_token_id: u32,
    pub audio_pad_token_id: u32,
    pub audio_start_token_id: u32,
    pub audio_tokenizer_sample_rate: usize,
    pub audio_user_slot_token_id: u32,
    pub audio_vocab_size: usize,

    // Generation/Model Params (Simplified nullables to Options or defaults if not critical)
    pub bad_words_ids: Option<Vec<u32>>,
    pub begin_suppress_tokens: Option<Vec<u32>>,
    pub bos_token_id: Option<u32>,
    pub chunk_size_feed_forward: usize,
    pub cross_attention_hidden_size: Option<usize>,
    pub decoder_start_token_id: Option<u32>,
    pub diversity_penalty: f64,
    pub do_sample: bool,
    pub dtype: String,
    pub early_stopping: bool,
    pub encoder_no_repeat_ngram_size: usize,
    pub eos_token_id: Option<u32>,
    pub exponential_decay_length_penalty: Option<f64>,
    pub finetuning_task: Option<String>,
    pub forced_bos_token_id: Option<u32>,
    pub forced_eos_token_id: Option<u32>,

    // GPT2 Backbone Config
    pub gpt2_config: GPT2Config,

    pub hidden_size: usize,
    pub id2label: std::collections::HashMap<usize, String>,

    pub im_end_token_id: u32,
    pub im_start_token_id: u32,
    pub initializer_range: f64,
    pub is_decoder: bool,
    pub is_encoder_decoder: bool,
    pub label2id: std::collections::HashMap<String, usize>,

    pub length_penalty: f64,
    pub local_transformer_attn_implementation: String,
    pub local_transformer_layers: usize,

    pub max_length: usize,
    pub max_position_embeddings: usize,
    pub min_length: usize,

    pub model_architecture: String,
    pub model_type: String,

    pub n_vq: usize,
    pub no_repeat_ngram_size: usize,

    pub num_beam_groups: usize,
    pub num_beams: usize,
    pub num_return_sequences: usize,

    pub output_attentions: bool,
    pub output_hidden_states: bool,
    pub output_scores: bool,

    pub pad_token_id: u32,
    pub prefix: Option<String>,
    pub problem_type: Option<String>,
    // pub pruned_heads: std::collections::HashMap<String, Vec<usize>>,
    pub remove_invalid_values: bool,
    pub repetition_penalty: f64,

    pub return_dict: bool,
    pub return_dict_in_generate: bool,

    pub sep_token_id: Option<u32>,
    pub suppress_tokens: Option<Vec<u32>>,

    pub task_specific_params: Option<serde_json::Value>,

    pub temperature: f32,
    pub tf_legacy_loss: bool,
    pub tie_encoder_decoder: bool,
    pub tie_word_embeddings: bool,

    pub tokenizer_class: String,
    pub tokenizer_use_fast: bool,

    pub top_k: usize,
    pub top_p: f32,
    pub torchscript: bool,

    pub typical_p: f64,

    pub use_bfloat16: bool,
    pub vocab_size: usize,
}