| test_stage: | |
| 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} | |
| Embedding: | |
| input_activations: null | |
| weights: {num_bits: 8, symmetric: false} | |
| SparseGPTModifier: | |
| sparsity: 0.5 | |
| block_size: 128 | |
| sequential_update: false | |
| quantize: true | |
| percdamp: 0.01 | |
| mask_structure: 0:0 | |
| targets: ['re:model.layers.\d*$'] | |