SparseModel

ruvector_sparse_inference::model::runners

Enum SparseModel 

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pub enum SparseModel {
    Llama(LlamaModel),
    LFM2(LFM2Model),
    Bert(BertModel),
}

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Llama(LlamaModel)

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LFM2(LFM2Model)

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Bert(BertModel)

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impl ModelRunner for SparseModel

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fn forward( &self, input: &ModelInput, config: &InferenceConfig, ) -> Result<ModelOutput, SparseInferenceError>

Forward pass with optional sparse computation
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fn get_predictor(&self, layer_idx: usize) -> Option<&LowRankPredictor>

Get predictor for a specific layer (if available)
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fn calibrate( &mut self, samples: &[ModelInput], ) -> Result<CalibrationStats, SparseInferenceError>

Calibrate predictors with sample data
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fn metadata(&self) -> &ModelMetadata

Get model metadata

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