ohms-adaptq 0.9.1

Revolutionary Super-APQ: Zero-Cost Universal LLM Quantization Engine
Documentation 
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use crate::Result;
use serde::{Deserialize, Serialize};

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SuperAPQConfig {
    pub weight_bits: f32,
    pub activation_bits: u8,
    pub use_bitnet_v2: bool,
    pub enable_delta_compression: bool,
    pub enable_shared_codebooks: bool,
    pub enable_neural_compression: bool,
    pub auto_detect_architecture: bool,
    pub adaptive_quantization: bool,
    pub preserve_outliers: bool,
    pub use_self_distillation: bool,
    pub confidence_aware_kld: bool,
    pub feature_alignment: bool,
    pub enable_simd_acceleration: bool,
    pub enable_quantum_compression: bool,
    pub enable_nas_optimization: bool,
    pub enable_hardware_awareness: bool,
    pub enable_mixed_precision: bool,
    pub enable_structured_sparsity: bool,
    pub enable_weight_sharing: bool,
    pub enable_progressive_quant: bool,
    pub target_compression_ratio: f32,
    pub quality_threshold: f32,
    pub energy_budget: f32,
}

impl Default for SuperAPQConfig {
    fn default() -> Self {
        Self {
            weight_bits: 1.58,
            activation_bits: 4,
            use_bitnet_v2: true,
            enable_delta_compression: true,
            enable_shared_codebooks: true,
            enable_neural_compression: true,
            auto_detect_architecture: true,
            adaptive_quantization: true,
            preserve_outliers: true,
            use_self_distillation: true,
            confidence_aware_kld: true,
            feature_alignment: true,
            enable_simd_acceleration: true,
            enable_quantum_compression: true,
            enable_nas_optimization: true,
            enable_hardware_awareness: true,
            enable_mixed_precision: true,
            enable_structured_sparsity: true,
            enable_weight_sharing: true,
            enable_progressive_quant: true,
            target_compression_ratio: 2000.0,
            quality_threshold: 0.999,
            energy_budget: 0.01,
        }
    }
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct CompressionMeta {
    pub original_size: usize,
    pub compressed_size: usize,
    pub compression_ratio: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct TernaryWeights {
    pub values: Vec<u8>,
    pub scale: f32,
    pub shift: f32,
    pub outliers: Vec<usize>,
    pub sparsity_pattern: String,
    pub compression_metadata: CompressionMeta,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct SuperQuantizedModel {
    pub compressed_model: CompressedModel,
    pub architecture: ArchitectureInfo,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct CompressedModel {
    pub data: Vec<u8>,
    pub metadata: CompressionMeta,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ArchitectureInfo {
    pub layers: usize,
}

pub struct SuperAPQ {
    _config: SuperAPQConfig,
}

impl SuperAPQ {
    pub fn new(config: SuperAPQConfig) -> Self { Self { _config: config } }

    pub fn quantize_model(&mut self, _model_path: &str) -> Result<SuperQuantizedModel> {
        // Minimal stable stub
        Ok(SuperQuantizedModel {
            compressed_model: CompressedModel {
                data: vec![0u8; 1024],
                metadata: CompressionMeta { original_size: 1024 * 1024, compressed_size: 1024, compression_ratio: 1024.0 },
            },
            architecture: ArchitectureInfo { layers: 48 },
        })
    }
}