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@@ -40,25 +40,80 @@ Smooth Sampl: 0.18
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  Can't be asked rn.
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  ```yaml
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- base_model: merge/siithamol3.1
 
 
 
 
 
 
 
 
 
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  dtype: float32
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- merge_method: breadcrumbs
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  out_dtype: bfloat16
 
 
 
 
 
 
 
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  parameters:
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- int8_mask: 1.0
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- normalize: 0.0
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- slices:
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- - sources:
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- - layer_range: [0, 32]
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- model: merge/siithamol3.1
 
 
 
 
 
 
 
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  parameters:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  density: 0.9
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  gamma: 0.01
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- weight: [0.5, 0.8, 0.9, 1.0]
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- - layer_range: [0, 32]
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- model: merge/formaxext.3.1
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  parameters:
 
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  density: 0.9
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  gamma: 0.01
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- weight: [0.5, 0.2, 0.1, 0.0]
 
 
 
 
 
 
 
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  ```
 
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  Can't be asked rn.
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  ```yaml
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+ slices:
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+ - sources:
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+ - layer_range: [0, 16]
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+ model: ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
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+ - sources:
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+ - layer_range: [16, 32]
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+ model: gradientai/Llama-3-8B-Instruct-Gradient-1048k
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+ parameters:
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+ int8_mask: true
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+ merge_method: passthrough
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  dtype: float32
 
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  out_dtype: bfloat16
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+ name: formax.ext
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+ ---
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+ models:
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+ - model: formax.ext
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+ parameters:
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+ weight: 1
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+ base_model: ArliAI/Llama-3.1-8B-ArliAI-Formax-v1.0
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  parameters:
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+ normalize: false
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+ int8_mask: true
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+ merge_method: dare_linear
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+ dtype: float32
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+ out_dtype: bfloat16
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+ tokenizer_source: base
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+ name: formaxext.3.1
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+ ---
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+ models:
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+ - model: Sao10K/L3-8B-Niitama-v1
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+ parameters:
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+ weight: 0.6
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+ - model: Sao10K/L3-8B-Stheno-v3.3-32K
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  parameters:
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+ weight: 0.5
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+ base_model: tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ merge_method: dare_linear
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+ dtype: float32
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+ out_dtype: bfloat16
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+ tokenizer_source: base
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+ name: siith.3.1
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+ ---
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+ models:
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+ - model: Sao10K/L3-8B-Tamamo-v1
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+ - model: siith.3.1
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+ base_model: vicgalle/Roleplay-Hermes-3-Llama-3.1-8B
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ merge_method: model_stock
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+ dtype: float32
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+ out_dtype: bfloat16
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+ name: siithamol3.1
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+ ---
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+ models:
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+ - model: siithamol3.1
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+ parameters:
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+ weight: [0.5, 0.8, 0.9, 1]
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  density: 0.9
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  gamma: 0.01
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+ - model: formaxext.3.1
 
 
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  parameters:
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+ weight: [0.5, 0.2, 0.1, 0]
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  density: 0.9
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  gamma: 0.01
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+ base_model: siithamol3.1
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+ parameters:
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+ normalize: false
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+ int8_mask: true
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+ merge_method: breadcrumbs
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+ dtype: float32
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+ out_dtype: bfloat16
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+ name: siithamov3
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  ```