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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model:
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+ - NewEden/nemo-erebus
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+ - nbeerbower/mistral-nemo-gutenberg-12B-v4
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+ - grimjim/mistralai-Mistral-Nemo-Instruct-2407
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+ - nbeerbower/mistral-nemo-bophades-12B
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+ - TheDrummer/UnslopNemo-12B-v4.1
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # merge
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NewEden/nemo-erebus](https://huggingface.co/NewEden/nemo-erebus) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4)
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+ * [grimjim/mistralai-Mistral-Nemo-Instruct-2407](https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407)
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+ * [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co/nbeerbower/mistral-nemo-bophades-12B)
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+ * [TheDrummer/UnslopNemo-12B-v4.1](https://huggingface.co/TheDrummer/UnslopNemo-12B-v4.1)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
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+ parameters:
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+ density: 0.2
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+ weight: 0.23
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+ - model: nbeerbower/mistral-nemo-bophades-12B
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+ parameters:
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+ density: 0.2
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+ weight: 0.43
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+ - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
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+ parameters:
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+ density: 0.2
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+ weight: 0.43
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+ - model: TheDrummer/UnslopNemo-12B-v4.1
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+ parameters:
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+ density: 0.5
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+ weight: 0.63
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+
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+ merge_method: task_arithmetic
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+ base_model: NewEden/nemo-erebus
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ dtype: bfloat16
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+
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+ layer_parameters:
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+ - range: [0, 10]
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+ density_multiplier: 1.2
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+ - range: [10, 20]
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+ density_multiplier: 1.0
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+ - range: [20, 30]
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+ density_multiplier: 0.8
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+ - range: [30, 40]
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+ density_multiplier: 0.6
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+
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+ regularization:
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+ - method: gradient_penalty
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+ scale: 0.05
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+ - method: weight_clipping
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+ clip_range: [-0.2, 0.2]
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+ - method: random_noise
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+ scale: 0.01
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+ - method: attention_dropout
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+ scale: 0.1
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+
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+ postprocessing:
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+ - operation: entropy_regularization
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+ scale: 0.05
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+ - operation: non_linear_scaling
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+ parameters:
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+ function: tanh
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+ - operation: sharpening
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+ intensity: 0.5
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+ - operation: gaussian_smoothing
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+ sigma: 1.5
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+ - operation: normalize
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+ - operation: dynamic_scaling
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+ scale_range: [0.8, 1.2]
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+ - operation: smoothing
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+ parameters:
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+ adaptive: true
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+ range: [0.85, 1.15]
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+ kernel_size: 5
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "NewEden/nemo-erebus",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 1024000,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 10,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.46.2",
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+ "unsloth_version": "2024.12.9",
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+ "use_cache": true,
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+ "vocab_size": 131072
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+ }
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+ models:
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+ - model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
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+ parameters:
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+ density: 0.2
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+ weight: 0.23
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+ - model: nbeerbower/mistral-nemo-bophades-12B
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+ parameters:
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+ density: 0.2
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+ weight: 0.43
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+ - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
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+ parameters:
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+ density: 0.2
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+ weight: 0.43
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+ - model: TheDrummer/UnslopNemo-12B-v4.1
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+ parameters:
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+ density: 0.5
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+ weight: 0.63
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+
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+ merge_method: task_arithmetic
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+ base_model: NewEden/nemo-erebus
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ dtype: bfloat16
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+
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+ layer_parameters:
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+ - range: [0, 10]
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+ density_multiplier: 1.2
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+ - range: [10, 20]
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+ density_multiplier: 1.0
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+ - range: [20, 30]
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+ density_multiplier: 0.8
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+ - range: [30, 40]
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+ density_multiplier: 0.6
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+
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+ regularization:
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+ - method: gradient_penalty
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+ scale: 0.05
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+ - method: weight_clipping
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+ clip_range: [-0.2, 0.2]
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+ - method: random_noise
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+ scale: 0.01
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+ - method: attention_dropout
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+ scale: 0.1
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+
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+ postprocessing:
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+ - operation: entropy_regularization
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+ scale: 0.05
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+ - operation: non_linear_scaling
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+ parameters:
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+ function: tanh
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+ - operation: sharpening
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+ intensity: 0.5
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+ - operation: gaussian_smoothing
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+ sigma: 1.5
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+ - operation: normalize
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+ - operation: dynamic_scaling
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+ scale_range: [0.8, 1.2]
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+ - operation: smoothing
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+ parameters:
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+ adaptive: true
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+ range: [0.85, 1.15]
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+ kernel_size: 5
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