| test_stage: | |
| obcq_modifiers: | |
| SmoothQuantModifier: | |
| smoothing_strength: 0.7 | |
| mappings: | |
| - - ['re:.*q_proj', 're:.*k_proj', 're:.*v_proj'] | |
| - re:.*input_layernorm | |
| - - ['re:.*gate_proj', 're:.*up_proj'] | |
| - re:.*post_attention_layernorm | |
| - - ['re:.*down_proj'] | |
| - re:.*up_proj | |
| QuantizationModifier: | |
| ignore: [LlamaRotaryEmbedding, LlamaRMSNorm, SiLUActivation, model.layers.0.self_attn.q_proj, | |
| model.layers.0.self_attn.k_proj, model.layers.0.self_attn.v_proj, model.layers.1.mlp.down_proj, | |
| model.layers.30.mlp.down_proj, model.layers.0.mlp.down_proj, model.layers.4.mlp.down_proj, | |
| MatMulOutput_QK, MatMulOutput_PV] | |
| 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: 0.0 | |
| block_size: 128 | |
| sequential_update: false | |
| quantize: true | |
| percdamp: 0.01 | |
| prunen: 0 | |
| prunem: 0 | |
| targets: [model.layers.0, model.layers.1, model.layers.2, model.layers.3, model.layers.4, | |
| model.layers.5, model.layers.6, model.layers.7, model.layers.8, model.layers.9, model.layers.10, | |
| model.layers.11, model.layers.12, model.layers.13, model.layers.14, model.layers.15, | |
| model.layers.16, model.layers.17, model.layers.18, model.layers.19, model.layers.20, | |
| model.layers.21, model.layers.22, model.layers.23, model.layers.24, model.layers.25, | |
| model.layers.26, model.layers.27, model.layers.28, model.layers.29, model.layers.30, | |
| model.layers.31, lm_head] | |