Struct Bundle 

pub struct Bundle {
    pub path: PathBuf,
    pub model: ModelConfig,
    pub quantization: String,
    pub group_size_default: usize,
    pub hadamard_seed: Option<i64>,
    pub tensors: HashMap<String, TensorData>,
    /* private fields */
}

Fields

path: PathBuf

model: ModelConfig

quantization: String

group_size_default: usize

hadamard_seed: Option<i64>

tensors: HashMap<String, TensorData>

Implementations

impl Bundle

pub fn weight_f32(&self, name: &str) -> Result<Vec<f32>, EngineError>

pub fn weight_loaded(&self, name: &str) -> Result<LoadedWeight, EngineError>

Load a weight in original space (Python reconstruct_weight).

Codebook tensors are stored rotated (W_rot = H@S@W on axis 0). Fused hdm_linear unrotates y = W_rot @ x, which is valid for dense GEMM but not for embedding row gather (e = W[token]). Unrotating the full matrix here makes lookup, tied lm_head, and linear all match HF inject.

pub fn weight_f32_any(&self, names: &[&str]) -> Result<Vec<f32>, EngineError>

Load the first tensor that exists among names (HF vs tiny/blk aliases).

pub fn weight_loaded_any( &self, names: &[&str], ) -> Result<LoadedWeight, EngineError>

Trait Implementations

impl Debug for Bundle

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.