1 files changed, 0 insertions, 271 deletions
diff --git a/makima/src/tts/qwen3/config.rs b/makima/src/tts/qwen3/config.rs
deleted file mode 100644
index 6fb55d7..0000000
--- a/makima/src/tts/qwen3/config.rs
+++ /dev/null
@@ -1,271 +0,0 @@
-//! Qwen3-TTS model configuration.
-//!
-//! Parses config.json from the HuggingFace model repository to configure
-//! the language model, code predictor, and speech tokenizer.
-
-use serde::Deserialize;
-
-use crate::tts::TtsError;
-
-/// Top-level configuration for Qwen3-TTS-12Hz-0.6B-Base.
-#[derive(Debug, Clone, Deserialize)]
-pub struct Qwen3TtsConfig {
-    /// Language model (talker) configuration.
-    #[serde(default = "Qwen3LmConfig::default")]
-    pub lm: Qwen3LmConfig,
-
-    /// Code predictor (multi-token prediction) configuration.
-    #[serde(default = "CodePredictorConfig::default")]
-    pub code_predictor: CodePredictorConfig,
-
-    /// Speech tokenizer configuration.
-    #[serde(default = "SpeechTokenizerConfig::default")]
-    pub speech_tokenizer: SpeechTokenizerConfig,
-}
-
-impl Default for Qwen3TtsConfig {
-    fn default() -> Self {
-        Self {
-            lm: Qwen3LmConfig::default(),
-            code_predictor: CodePredictorConfig::default(),
-            speech_tokenizer: SpeechTokenizerConfig::default(),
-        }
-    }
-}
-
-impl Qwen3TtsConfig {
-    /// Load from a config.json file path.
-    pub fn from_json_path(path: &std::path::Path) -> Result<Self, TtsError> {
-        let content = std::fs::read_to_string(path)
-            .map_err(|e| TtsError::Config(format!("failed to read config: {e}")))?;
-        Self::from_json_str(&content)
-    }
-
-    /// Load from a JSON string.
-    pub fn from_json_str(json: &str) -> Result<Self, TtsError> {
-        // Try to parse the full HuggingFace config.json format first
-        if let Ok(hf_config) = serde_json::from_str::<HfConfig>(json) {
-            return Ok(Self::from_hf_config(&hf_config));
-        }
-        // Fall back to direct deserialization
-        serde_json::from_str(json)
-            .map_err(|e| TtsError::Config(format!("failed to parse config: {e}")))
-    }
-
-    /// Convert from HuggingFace's config.json format.
-    fn from_hf_config(hf: &HfConfig) -> Self {
-        Self {
-            lm: Qwen3LmConfig {
-                hidden_size: hf.hidden_size.unwrap_or(1024),
-                num_hidden_layers: hf.num_hidden_layers.unwrap_or(28),
-                num_attention_heads: hf.num_attention_heads.unwrap_or(16),
-                num_key_value_heads: hf.num_key_value_heads.unwrap_or(8),
-                intermediate_size: hf.intermediate_size.unwrap_or(3072),
-                head_dim: hf.head_dim.unwrap_or(128),
-                vocab_size: hf.vocab_size.unwrap_or(151_936),
-                max_position_embeddings: hf.max_position_embeddings.unwrap_or(32_768),
-                rms_norm_eps: hf.rms_norm_eps.unwrap_or(1e-6),
-                rope_theta: hf.rope_theta.unwrap_or(1_000_000.0),
-                use_sliding_window: hf.use_sliding_window.unwrap_or(false),
-                sliding_window: hf.sliding_window,
-                hidden_act: hf.hidden_act.clone().unwrap_or_else(|| "silu".to_string()),
-            },
-            code_predictor: CodePredictorConfig {
-                hidden_size: hf.code_predictor_hidden_size.unwrap_or(1024),
-                num_layers: hf.code_predictor_num_layers.unwrap_or(5),
-                num_attention_heads: hf
-                    .code_predictor_num_attention_heads
-                    .unwrap_or(16),
-                num_code_groups: hf.num_code_groups.unwrap_or(16),
-                codebook_vocab_size: hf.codebook_vocab_size.unwrap_or(2048),
-                rms_norm_eps: hf.rms_norm_eps.unwrap_or(1e-6),
-            },
-            speech_tokenizer: SpeechTokenizerConfig::default(),
-        }
-    }
-}
-
-/// Language model configuration (28-layer Qwen3 transformer).
-#[derive(Debug, Clone, Deserialize)]
-pub struct Qwen3LmConfig {
-    /// Hidden dimension of transformer layers.
-    pub hidden_size: usize,
-    /// Number of transformer layers.
-    pub num_hidden_layers: usize,
-    /// Number of attention heads.
-    pub num_attention_heads: usize,
-    /// Number of key-value heads (GQA).
-    pub num_key_value_heads: usize,
-    /// Feed-forward intermediate size.
-    pub intermediate_size: usize,
-    /// Dimension per attention head.
-    pub head_dim: usize,
-    /// Text vocabulary size.
-    pub vocab_size: usize,
-    /// Maximum sequence length for RoPE.
-    pub max_position_embeddings: usize,
-    /// RMS normalization epsilon.
-    pub rms_norm_eps: f64,
-    /// RoPE theta parameter.
-    pub rope_theta: f64,
-    /// Whether to use sliding window attention.
-    pub use_sliding_window: bool,
-    /// Sliding window size (if enabled).
-    pub sliding_window: Option<usize>,
-    /// Activation function name.
-    pub hidden_act: String,
-}
-
-impl Default for Qwen3LmConfig {
-    fn default() -> Self {
-        Self {
-            hidden_size: 1024,
-            num_hidden_layers: 28,
-            num_attention_heads: 16,
-            num_key_value_heads: 8,
-            intermediate_size: 3072,
-            head_dim: 128,
-            vocab_size: 151_936,
-            max_position_embeddings: 32_768,
-            rms_norm_eps: 1e-6,
-            rope_theta: 1_000_000.0,
-            use_sliding_window: false,
-            sliding_window: None,
-            hidden_act: "silu".to_string(),
-        }
-    }
-}
-
-impl Qwen3LmConfig {
-    /// Number of key-value head groups for GQA.
-    pub fn num_kv_groups(&self) -> usize {
-        self.num_attention_heads / self.num_key_value_heads
-    }
-}
-
-/// Code predictor (multi-token prediction) configuration.
-#[derive(Debug, Clone, Deserialize)]
-pub struct CodePredictorConfig {
-    /// Hidden size (matches LM hidden size).
-    pub hidden_size: usize,
-    /// Number of predictor transformer layers.
-    pub num_layers: usize,
-    /// Number of attention heads.
-    pub num_attention_heads: usize,
-    /// Number of codebook groups (residual codebooks).
-    pub num_code_groups: usize,
-    /// Vocabulary size per codebook.
-    pub codebook_vocab_size: usize,
-    /// RMS norm epsilon.
-    pub rms_norm_eps: f64,
-}
-
-impl Default for CodePredictorConfig {
-    fn default() -> Self {
-        Self {
-            hidden_size: 1024,
-            num_layers: 5,
-            num_attention_heads: 16,
-            num_code_groups: 16,
-            codebook_vocab_size: 2048,
-            rms_norm_eps: 1e-6,
-        }
-    }
-}
-
-/// Speech tokenizer (ConvNet codec) configuration.
-#[derive(Debug, Clone, Deserialize)]
-pub struct SpeechTokenizerConfig {
-    /// Number of RVQ codebooks.
-    pub num_codebooks: usize,
-    /// Codebook embedding dimension.
-    pub codebook_dim: usize,
-    /// Codebook vocabulary size per layer.
-    pub codebook_size: usize,
-    /// Encoder/decoder hidden channels.
-    pub hidden_channels: usize,
-    /// Output sample rate.
-    pub sample_rate: u32,
-    /// Token frame rate (Hz).
-    pub frame_rate: f32,
-    /// HuggingFace model ID for the speech tokenizer.
-    pub model_id: String,
-}
-
-impl Default for SpeechTokenizerConfig {
-    fn default() -> Self {
-        Self {
-            num_codebooks: 16,
-            codebook_dim: 256,
-            codebook_size: 2048,
-            hidden_channels: 512,
-            sample_rate: 24_000,
-            frame_rate: 12.5,
-            model_id: "Qwen/Qwen3-TTS-Tokenizer-12Hz".to_string(),
-        }
-    }
-}
-
-/// HuggingFace config.json format (partial, fields we need).
-#[derive(Debug, Deserialize)]
-struct HfConfig {
-    hidden_size: Option<usize>,
-    num_hidden_layers: Option<usize>,
-    num_attention_heads: Option<usize>,
-    num_key_value_heads: Option<usize>,
-    intermediate_size: Option<usize>,
-    head_dim: Option<usize>,
-    vocab_size: Option<usize>,
-    max_position_embeddings: Option<usize>,
-    rms_norm_eps: Option<f64>,
-    rope_theta: Option<f64>,
-    use_sliding_window: Option<bool>,
-    sliding_window: Option<usize>,
-    hidden_act: Option<String>,
-    // Code predictor specific fields
-    code_predictor_hidden_size: Option<usize>,
-    code_predictor_num_layers: Option<usize>,
-    code_predictor_num_attention_heads: Option<usize>,
-    num_code_groups: Option<usize>,
-    codebook_vocab_size: Option<usize>,
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn test_default_config() {
-        let config = Qwen3TtsConfig::default();
-        assert_eq!(config.lm.hidden_size, 1024);
-        assert_eq!(config.lm.num_hidden_layers, 28);
-        assert_eq!(config.lm.num_attention_heads, 16);
-        assert_eq!(config.lm.num_key_value_heads, 8);
-        assert_eq!(config.lm.head_dim, 128);
-        assert_eq!(config.lm.num_kv_groups(), 2);
-        assert_eq!(config.code_predictor.num_layers, 5);
-        assert_eq!(config.code_predictor.num_code_groups, 16);
-        assert_eq!(config.speech_tokenizer.num_codebooks, 16);
-    }
-
-    #[test]
-    fn test_config_from_json() {
-        let json = r#"{
-            "hidden_size": 1024,
-            "num_hidden_layers": 28,
-            "num_attention_heads": 16,
-            "num_key_value_heads": 8,
-            "intermediate_size": 3072,
-            "vocab_size": 151936,
-            "max_position_embeddings": 32768,
-            "rms_norm_eps": 1e-6,
-            "rope_theta": 1000000.0,
-            "hidden_act": "silu"
-        }"#;
-
-        let config = Qwen3TtsConfig::from_json_str(json).unwrap();
-        assert_eq!(config.lm.hidden_size, 1024);
-        assert_eq!(config.lm.num_hidden_layers, 28);
-        assert_eq!(config.lm.vocab_size, 151_936);
-    }
-}