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README.md
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@@ -41,6 +41,7 @@ The following YAML configuration was used to produce this model:
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```yaml
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#Step1 - Add smarts to Niitama with alchemonaut's algorithm.
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slices:
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- sources:
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- model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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t:
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- value: 0.0001
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dtype: bfloat16
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out_type: float16
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#Step 2 - Learn vectors onto Supernova 0.4
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models:
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- model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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normalize: false
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dtype: float16
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#Step 3 - Fully learn vectors onto Supernova 1.
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models:
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- model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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normalize: false
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dtype: float16
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#Step 4 - Merge checkpoints and keep output/input Supernova heavy
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models:
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- model: v000000/L3.1-8B-RP-Test-003-Task_Arithmetic
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merge_method: slerp
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```yaml
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#Step1 - Add smarts to Niitama with alchemonaut's algorithm.
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+
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slices:
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- sources:
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- model: Sao10K/L3.1-8B-Niitama-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
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t:
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- value: 0.0001
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dtype: bfloat16
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out_type: float16
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#Step 2 - Learn vectors onto Supernova 0.4(Niitorm)
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models:
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- model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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normalize: false
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dtype: float16
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#Step 3 - Fully learn vectors onto Supernova 1.25(Niitorm)
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models:
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- model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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normalize: false
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dtype: float16
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#Step 4 - Merge checkpoints and keep output/input Supernova heavy
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#Merge with a triangular slerp from sophosympatheia.
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models:
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- model: v000000/L3.1-8B-RP-Test-003-Task_Arithmetic
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merge_method: slerp
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