| test_stage_0: | |
| obcq_modifiers: | |
| LogarithmicEqualizationModifier: | |
| mappings: | |
| - - - re:.*q_proj | |
| - re:.*k_proj | |
| - re:.*v_proj | |
| - re:.*input_layernorm | |
| - - - re:.*gate_proj | |
| - re:.*up_proj | |
| - re:.*post_attention_layernorm | |
| QuantizationModifier: | |
| ignore: | |
| - LlamaRotaryEmbedding | |
| - LlamaRMSNorm | |
| - SiLUActivation | |
| - MatMulOutput_QK | |
| - MatMulOutput_PV | |
| - model.layers.21.mlp.down_proj | |
| - model.layers.7.mlp.down_proj | |
| - model.layers.2.mlp.down_proj | |
| - model.layers.8.self_attn.q_proj | |
| - model.layers.8.self_attn.k_proj | |
| post_oneshot_calibration: true | |
| scheme_overrides: | |
| Linear: | |
| weights: | |
| num_bits: 8 | |
| symmetric: true | |
| strategy: channel | |
| MatMulLeftInput_QK: | |
| input_activations: | |
| num_bits: 8 | |
| symmetric: true | |
| MatMulLeftInput_PV: | |
| input_activations: | |
| num_bits: 8 | |
| symmetric: true | |
| Embedding: | |
| input_activations: null | |
| weights: | |
| num_bits: 8 | |
| symmetric: false | |
| SparseGPTModifier: | |
| sparsity: 0.5 | |
| block_size: 128 | |
| sequential_update: true | |
| quantize: true | |
| percdamp: 0.01 | |
| mask_structure: 0:0 | |
| targets: | |
| - re:model.layers.\d*$ | |
| test_stage_1: | |
| obcq_modifiers: | |
| LogarithmicEqualizationModifier: | |
| mappings: | |
| - - - re:.*q_proj | |
| - re:.*k_proj | |
| - re:.*v_proj | |
| - re:.*input_layernorm | |
| - - - re:.*gate_proj | |
| - re:.*up_proj | |
| - re:.*post_attention_layernorm | |
| QuantizationModifier: | |
| ignore: | |
| - LlamaRotaryEmbedding | |
| - LlamaRMSNorm | |
| - SiLUActivation | |
| - MatMulOutput_QK | |
| - MatMulOutput_PV | |
| - model.layers.21.mlp.down_proj | |
| - model.layers.7.mlp.down_proj | |
| - model.layers.2.mlp.down_proj | |
| - model.layers.8.self_attn.q_proj | |
| - model.layers.8.self_attn.k_proj | |
| post_oneshot_calibration: true | |
| scheme_overrides: | |
| Linear: | |
| weights: | |
| num_bits: 8 | |
| symmetric: true | |
| strategy: channel | |
| MatMulLeftInput_QK: | |
| input_activations: | |
| num_bits: 8 | |
| symmetric: true | |
| MatMulLeftInput_PV: | |
| input_activations: | |
| num_bits: 8 | |
| symmetric: true | |
| Embedding: | |
| input_activations: null | |
| weights: | |
| num_bits: 8 | |
| symmetric: false | |
| SparseGPTModifier: | |
| sparsity: 0.5 | |
| block_size: 128 | |
| sequential_update: true | |
| quantize: true | |
| percdamp: 0.01 | |
| mask_structure: 0:0 | |
| targets: | |
| - re:model.layers.\d*$ | |