Upload recipe.yaml
Browse files- recipe.yaml +37 -0
recipe.yaml
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test_stage:
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obcq_modifiers:
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SmoothQuantModifier:
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smoothing_strength: 0.8
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mappings: [
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[["re:.*q_proj", "re:.*k_proj", "re:.*v_proj"], "re:.*input_layernorm"],
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[["re:.*gate_proj", "re:.*up_proj"], "re:.*post_attention_layernorm"]
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]
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QuantizationModifier:
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ignore:
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# These operations don't make sense to quantize
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- LlamaRotaryEmbedding
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- LlamaRMSNorm
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- SiLUActivation
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# Skip quantizing the BMMs
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- QuantizableMatMul
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# Skip quantizing the layers with the most sensitive activations
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- model.layers.1.mlp.down_proj
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- model.layers.28.mlp.down_proj
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- model.layers.29.mlp.down_proj
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- model.layers.30.mlp.down_proj
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- model.layers.31.mlp.down_proj
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post_oneshot_calibration: true
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scheme_overrides:
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Embedding:
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input_activations: null
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weights:
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num_bits: 8
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symmetric: false
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SparseGPTModifier:
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sparsity: 0.5
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block_size: 128
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sequential_update: true
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quantize: true
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percdamp: 0.01
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mask_structure: "0:0"
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targets: ["re:model.layers.\\d*$"]
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